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data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-12db9861-bac0-493a-baee-438107dfb91c"></div> <div id="ProfileCheckPaperUpdate-react-component-12db9861-bac0-493a-baee-438107dfb91c"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Scott Kirkpatrick</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://huji.academia.edu/">The Hebrew University of Jerusalem</a>, <a class="u-tcGrayDarker" 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Iyengar</a></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://ethz.academia.edu/FrankSchweitzer"><img class="profile-avatar u-positionAbsolute" alt="Frank Schweitzer" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/17136667/4719888/5444348/s200_frank.schweitzer.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ethz.academia.edu/FrankSchweitzer">Frank Schweitzer</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Swiss Federal Institute of Technology (ETH)</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a 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class="js-work-strip profile--work_container" data-work-id="126959412"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959412/Social_Networks_and_Spin_Glasses"><img alt="Research paper thumbnail of Social Networks and Spin Glasses" class="work-thumbnail" src="https://attachments.academia-assets.com/120762025/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959412/Social_Networks_and_Spin_Glasses">Social Networks and Spin Glasses</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The networks formed from the links between telephones observed in a month's call detail records (...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The networks formed from the links between telephones observed in a month's call detail records (CDRs) in the UK are analyzed, looking for the characteristics thought to identify a communications network or a social network. Some novel methods are employed. We find similarities to both types of network. We conclude that, just as analogies to spin glasses have proved fruitful for optimization of large scale practical problems, there will be opportunities to exploit a statistical mechanics of the formation and dynamics of social networks in today's electronically connected world.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0a06fd6781c3dd08d4158aaa0a27852c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762025,"asset_id":126959412,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762025/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959412"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959412"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959412; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959411"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959411/Understanding_the_present_and_future_of_cellular_networks_through_crowdsourced_traces"><img alt="Research paper thumbnail of Understanding the present and future of cellular networks through crowdsourced traces" class="work-thumbnail" src="https://attachments.academia-assets.com/120762004/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959411/Understanding_the_present_and_future_of_cellular_networks_through_crowdsourced_traces">Understanding the present and future of cellular networks through crowdsourced traces</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We focus on today's LTE systems and use realworld, crowdsourced traces to understand (i) how pres...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We focus on today's LTE systems and use realworld, crowdsourced traces to understand (i) how present-day LTE networks are deployed and to which extent they are suited to the current traffic load; (ii) how well they will withstand the traffic demand forecasted within 2020; (iii) which techniques to improve them should be pursued and how aggressively. To this end, we use two datasets, coming from WeFi and OpenSignal and available under commercial terms. We find that today's networks are composed of tangled, medium to large-sized cells, characterized by fairly high interference. Also, current networks are typically overprovisioned, but the future traffic load will pose a significant strain on them. To accommodate the forecasted mobile traffic, our study highlights the efficacy of: (i) traffic offloading for pedestrian and stationary users, (ii) increasing the available bandwidth through, e.g., spectrum refarming, (iii) mitigating interference and improving link quality for edge users through coordinated downlink transmissions. By putting in place these actions, only a negligible amount of additional cellular infrastructure will be required. Our results come from the combination of real-world traces, experimental measurements, and ITU-recommended propagation models. Each step we take is backed by real-world facts and data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2f306a7a6313a6312b68ad597f9bf45a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762004,"asset_id":126959411,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762004/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959411"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959411"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959411; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959410"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959410/Once_the_Internet_can_measure_itself"><img alt="Research paper thumbnail of Once the Internet can measure itself" class="work-thumbnail" src="https://attachments.academia-assets.com/120762003/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959410/Once_the_Internet_can_measure_itself">Once the Internet can measure itself</a></div><div class="wp-workCard_item"><span>Philosophical Transactions of the Royal Society A</span><span>, Mar 6, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In communications, the obstacle to high bandwidth and reliable transmission is usually the interc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In communications, the obstacle to high bandwidth and reliable transmission is usually the interconnections, not the links. Nowhere is this more evident than on the Internet, where broadband connections to homes, offices and now mobile smart phones are a frequent source of frustration, and the interconnections between the roughly 50 000 subnetworks (autonomous systems or ASes) from which it is formed, even more so. The structure of the AS graph that is formed by these interconnections is unspecified, undocumented and only guessedat through measurement, but it shows surprising efficiencies. Under recent pressures for network neutrality and openness or 'transparency', operators, several classes of users and regulatory bodies have a good chance of realizing these efficiencies, but they need improved measurement technology to manage this under continued growth. A long-standing vision, an Internet that measures itself, in which every intelligent port takes a part in monitoring, can make this possible and may now be within reach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="43b3a9ec22339c873392611aba796d53" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762003,"asset_id":126959410,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762003/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959410"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959410"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959410; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959409"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959409/Cellular_Network_Traces_Towards_5G_Usage_Analysis_and_Generation"><img alt="Research paper thumbnail of Cellular Network Traces Towards 5G: Usage, Analysis and Generation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959409/Cellular_Network_Traces_Towards_5G_Usage_Analysis_and_Generation">Cellular Network Traces Towards 5G: Usage, Analysis and Generation</a></div><div class="wp-workCard_item"><span>IEEE Transactions on Mobile Computing</span><span>, Mar 1, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Deployment and demand traces are a crucial tool to study today's LTE systems, as well as their ev...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Deployment and demand traces are a crucial tool to study today's LTE systems, as well as their evolution toward 5G. In this paper, we use a set of real-world, crowdsourced traces, coming from the WeFi and OpenSignal apps, to investigate how present-day networks are deployed, and the load they serve. Given this information, we present a way to generate synthetic deployment and demand profiles, retaining the same features of their real-world counterparts. We further discuss a methodology using traces (both real-world and synthetic) to assess (i) to which extent the current deployment is adequate to the current and future demand, and (ii) the effectiveness of the existing strategies to improve network capacity. Applying our methodology to real-world traces, we find that present-day LTE deployments consist of multiple, entangled, medium-to large-sized cells. Furthermore, although today's LTE networks are overprovisioned when compared to the present traffic demand, they will need substantial capacity improvements in order to face the load increase foreacasted between now and 2020.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="22009aa5113e76aa93e3a41b91f91bbf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762002,"asset_id":126959409,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762002/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959409"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959409"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959409; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959408"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959408/How_Close_to_the_Edge_Delay_utilization_tradeoffs_in_MEC"><img alt="Research paper thumbnail of How Close to the Edge? Delay/utilization tradeoffs in MEC" class="work-thumbnail" src="https://attachments.academia-assets.com/120762000/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959408/How_Close_to_the_Edge_Delay_utilization_tradeoffs_in_MEC">How Close to the Edge? Delay/utilization tradeoffs in MEC</a></div><div class="wp-workCard_item"><span>arXiv (Cornell University)</span><span>, Nov 25, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Virtually all of the rapidly increasing data traffic consumed by mobile users requires some kind ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Virtually all of the rapidly increasing data traffic consumed by mobile users requires some kind of processing, normally performed at cloud servers. A recent thrust, mobile edge computing, moves such processing to servers within the cellular mobile network. The large temporal and spatial variations to which mobile data usage is subject could make the reduced latency that edge clouds offer come at an unacceptable cost in redundant and underutilized infrastructure. We present some first empirical results on this question, based on large scale sampled crowd-sourced traces from several major cities spanning multiple operators and identifying the applications in use. We find opportunities to obtain both high server utilization and low application latency, but the best approaches will depend on the individual network operator's deployment strategy and geographic specifics of the cities we study.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0b6868dfb648853f9bad5d7efca9cd17" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762000,"asset_id":126959408,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762000/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959408"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959408"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959408; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=126959408]").text(description); $(".js-view-count[data-work-id=126959408]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 126959408; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='126959408']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0b6868dfb648853f9bad5d7efca9cd17" } } $('.js-work-strip[data-work-id=126959408]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":126959408,"title":"How Close to the Edge? Delay/utilization tradeoffs in MEC","internal_url":"https://www.academia.edu/126959408/How_Close_to_the_Edge_Delay_utilization_tradeoffs_in_MEC","owner_id":32298185,"coauthors_can_edit":true,"owner":{"id":32298185,"first_name":"Scott","middle_initials":null,"last_name":"Kirkpatrick","page_name":"ScottKirkpatrick","domain_name":"huji","created_at":"2015-06-17T15:16:18.589-07:00","display_name":"Scott Kirkpatrick","url":"https://huji.academia.edu/ScottKirkpatrick"},"attachments":[{"id":120762000,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/120762000/thumbnails/1.jpg","file_name":"1611.pdf","download_url":"https://www.academia.edu/attachments/120762000/download_file","bulk_download_file_name":"How_Close_to_the_Edge_Delay_utilization.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120762000/1611-libre.pdf?1736608940=\u0026response-content-disposition=attachment%3B+filename%3DHow_Close_to_the_Edge_Delay_utilization.pdf\u0026Expires=1740559521\u0026Signature=UF6~rugt0fM8-ZcCZnWx4bHOYcCRy~rabVgpCVYJcfTpETXy5o930aHDfxy4g-nvcmdwKUMuSLqwLmk0qa2hCQHmfvZ4XftETUZU1mkWAjiPXd4lzCQROu7Y~HCCfEfybUd6GiPoyVnfpMB7AVCxJarkf5Ui53WAeSkILd2YXchDrynbqmXLMQY2fJu-SS72HR3sTBS1TxxcCFefOfc3Z6sZTaQfPqDu0VwJI3scfgIrARPmWaZvy3r60vCst-~4b0AxzBwWu1wK2T2CXokgr7CMXnWidPZOu8pjponQ9d0NjAiLWTr3ohDlXj1bAp8V9tGjGIj2AV6Nc8OZ5KNxYg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":120761999,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/120761999/thumbnails/1.jpg","file_name":"1611.pdf","download_url":"https://www.academia.edu/attachments/120761999/download_file","bulk_download_file_name":"How_Close_to_the_Edge_Delay_utilization.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120761999/1611-libre.pdf?1736608943=\u0026response-content-disposition=attachment%3B+filename%3DHow_Close_to_the_Edge_Delay_utilization.pdf\u0026Expires=1740559521\u0026Signature=DosLfNBxckb25eYyCdUTcij8Xi1~dbfpUDyDpc~OOS75ePQTSbpzPj8tizgu7vykI4vGsFM0lNCpXHhiiVlIVtzQcaIccRL9wSKIKmCs-rJmotkfgO56mTCkQK6-EUNgZxmX42MdPE8wxTfsEkeox3rom~FnhlEh9oKrvloUPH2dSvb9pfWZ94ygZK7PSmBSh62NgT18EbpJexub~PoiykoDQWOgCvjdsx2ms5HENRoLeP7OWOGHyBRQXSspVP5hTNzrH7OMXVIhRelSPuk-GTPO5MAnq4QJyAgdBjC4EOVyHeCivo3KbN~qEgr7gXQqQaTm0OU7ROGM1365qKPWSQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959407"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959407/The_impact_of_vehicular_traffic_demand_on_5G_caching_architectures_A_data_driven_study"><img alt="Research paper thumbnail of The impact of vehicular traffic demand on 5G caching architectures: A data-driven study" class="work-thumbnail" src="https://attachments.academia-assets.com/120761997/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959407/The_impact_of_vehicular_traffic_demand_on_5G_caching_architectures_A_data_driven_study">The impact of vehicular traffic demand on 5G caching architectures: A data-driven study</a></div><div class="wp-workCard_item"><span>Vehicular Communications</span><span>, Apr 1, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The emergence of in-vehicle entertainment systems and self-driving vehicles, and the latters' nee...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The emergence of in-vehicle entertainment systems and self-driving vehicles, and the latters' need for high-resolution, up-to-date maps, will bring a further increase in the amount of data vehicles consume. Considering how difficult Wi-Fi offloading in vehicular environments is, the bulk of this additional load will be served by cellular networks. Cellular networks, in turn, will resort to caching at the network edge in order to reduce the strain on their core network -an approach also known as mobile edge computing, or "fog computing". In this work, we exploit a real-world, large-scale trace coming from the users of the We-Fi app in order to (i) understand how significant the contribution of vehicular users is to the global traffic demand; (ii) compare the performance of different caching architectures; and (iii) studying how such a performance is influenced by recommendation systems and content locality. We express the price of "fog computing" through a metric called price-of-fog, accounting for the extra caches to deploy compared to a traditional, centralized approach. We find that "fog computing" allows a very significant reduction of the load on the core network, and the price thereof is low in all cases and becomes negligible if content demand is location specific. We can therefore conclude that vehicular networks make an excellent case for the transition to mobile-edge caching: thanks to the peculiar features of vehicular demand, we can obtain all the benefits of "fog computing", including a reduction of the load on the core network -reducing the disadvantages to a minimum.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e8c67b87e26f96814c64bf6e32ecf781" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761997,"asset_id":126959407,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761997/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959407"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959407"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959407; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e8c67b87e26f96814c64bf6e32ecf781" } } $('.js-work-strip[data-work-id=126959407]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":126959407,"title":"The impact of vehicular traffic demand on 5G caching architectures: A data-driven study","internal_url":"https://www.academia.edu/126959407/The_impact_of_vehicular_traffic_demand_on_5G_caching_architectures_A_data_driven_study","owner_id":32298185,"coauthors_can_edit":true,"owner":{"id":32298185,"first_name":"Scott","middle_initials":null,"last_name":"Kirkpatrick","page_name":"ScottKirkpatrick","domain_name":"huji","created_at":"2015-06-17T15:16:18.589-07:00","display_name":"Scott Kirkpatrick","url":"https://huji.academia.edu/ScottKirkpatrick"},"attachments":[{"id":120761997,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/120761997/thumbnails/1.jpg","file_name":"1611.pdf","download_url":"https://www.academia.edu/attachments/120761997/download_file","bulk_download_file_name":"The_impact_of_vehicular_traffic_demand_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120761997/1611-libre.pdf?1736608949=\u0026response-content-disposition=attachment%3B+filename%3DThe_impact_of_vehicular_traffic_demand_o.pdf\u0026Expires=1740559521\u0026Signature=DTHjkePrYDr9fFZUijPfPorf3pT~xd6lwIVjTwbaIvEuwWGIywhXVVYtCJHafIbMErjHk6D8FysnoRO4niZn1GtAseep3je91qRS0Iggzy1rb8HE2gNbInrVft4AbTIX3D6sexi13M2ch2bPvqDd1mcpQ0hm0dJXaaFsDLsaKbPPT1LF9en45MYVKQ6xDGuFSKeRtYgWaF6hh1552kG674gMzerfuLUm6rb9aWdJkYOJqooyRtvh7SwM9v9E71gR--sOoC3RerbeeCbFvDq5Sgt3Qbf0ESYH9GqaHbu0hhNEpHgwZ5dq3ovVG19Zx0U03e9SSSnH2MoxO~3MnKD79g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":120761998,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","file_name":"1611.pdf","download_url":"https://www.academia.edu/attachments/120761998/download_file","bulk_download_file_name":"The_impact_of_vehicular_traffic_demand_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120761998/1611-libre.pdf?1736608951=\u0026response-content-disposition=attachment%3B+filename%3DThe_impact_of_vehicular_traffic_demand_o.pdf\u0026Expires=1740559521\u0026Signature=argnQxSoaPIUgb9WKTdj-rSpT-cDxWJiadpezd0raHaUC1LgxelByT3QzVYTKRR~wrG~bNcbyddxam1XkQ3lF0X7DfbvOfyerZClQoSR4DzcV8cKU7SB425neZEMngU7bRyTHiP509-dje2HTq3g45Tpeg9NrmDIT-LNAVYRkcAOeDRUjkndJn2i-SldC9DAlY4vQpg05CyPYydkusMrNBj7uGXn50FLWd0mYThE3Ga1FbbWcLUU5KgImJGZl4oPlzrFiJcSPZeNtJcu0aKSvhNRG6OdHP4TyWCWdmxH~4YSKz0U0r4LNsjNn~l2lH7QSULtg0RtIoNkssN4igVOhA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959406"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959406/Mining_the_Air_for_Research_in_Social_Science_and_Networking_Measurement"><img alt="Research paper thumbnail of Mining the Air -- for Research in Social Science and Networking Measurement" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959406/Mining_the_Air_for_Research_in_Social_Science_and_Networking_Measurement">Mining the Air -- for Research in Social Science and Networking Measurement</a></div><div class="wp-workCard_item"><span>arXiv (Cornell University)</span><span>, Jun 19, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Smartphone apps provide a vitally important opportunity for monitoring human mobility, human expe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Smartphone apps provide a vitally important opportunity for monitoring human mobility, human experience of ubiquitous information aids, and human activity in our increasingly wellinstrumented spaces. As wireless data capabilities move steadily up in performance, from 2&3G to 4G (today's LTE) and 5G, it has become more important to measure human activity in this connected world from the phones themselves. The newer protocols serve larger areas than ever before and a wider range of data, not just voice calls, so only the phone can accurately measure its location. Access to the application activity permits not only monitoring the performance and spatial coverage with which the users are served, but as a crowd-sourced, unbiased background source of input on all these subjects, becomes a uniquely valuable resource for input to social science and government as well as telecom providers. The public also stands to benefit. National and regional regulators tasked to ensure that consumers are getting the communications bandwidth, coverage and capability that were advertised and they paid for, are beginning to use crowd-sourced measurements from the edge to provide public "report cards" of communications quality. We have been working with data captured by applications based on the phones, authorized by their users to capture location information and share it to build a public database of internet access performance. We have used most extensively results from an Israeli startup called WeFi , which observes the category of application in use during some of its measurements and determines upload and download data volumes and rates. We have, in all, about 3 billion measurements from five US cities and their surroundings, Atlanta, Boston, Brooklyn, Los Angeles and San Francisco, for several months in each location during 2014 and 2015. Our data has been presented in several publications that address issues in mobile network planning and management. One surprising result is the range over which each cell antenna is received. Earlier studies in which the data source is a carrier have used the cell tower locations as a proxy for user location. In this study, which sees all carriers in each city, we first estimated the locations of the cell towers, which were named in each measurement record, as the centroid of all the observations where a tower was seen. Cell dimensions of several km are observed. By contrast, the phone locations are known to GPS accuracy, with errors as little as 10m.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cd0c4b1e8ebae57573fb749579f1c567" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761996,"asset_id":126959406,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761996/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959406"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959406"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959406; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959405"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959405/From_Megabits_to_CPU_Ticks_Enriching_a_Demand_Trace_in_the_Age_of_MEC"><img alt="Research paper thumbnail of From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959405/From_Megabits_to_CPU_Ticks_Enriching_a_Demand_Trace_in_the_Age_of_MEC">From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC</a></div><div class="wp-workCard_item"><span>IEEE Transactions on Big Data</span><span>, Mar 1, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">All the content consumed by mobile users, be it a web page or a live stream, undergoes some proce...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">All the content consumed by mobile users, be it a web page or a live stream, undergoes some processing along the way; as an example, web pages and videos are transcoded to fit each device's screen. The recent multi-access edge computing (MEC) paradigm envisions performing such processing within the cellular network, as opposed to resorting to a cloud server on the Internet. Designing a MEC network, i.e., placing and dimensioning the computational facilities therein, requires information on how much computational power is required to produce the contents needed by the users. However, real-world demand traces only contain information on how much data is downloaded. In this paper, we demonstrate how to enrich demand traces with information about the computational power needed to process the different types of content, and we show the substantial benefit that can be obtained from using such enriched traces for the design of MEC-based networks.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="88e2a7f81a94ae20cb2bdbcc7b76e732" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761994,"asset_id":126959405,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761994/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959405"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959405"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959405; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959403"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959403/Static_properties_of_dilute_ferri_and_antiferromagnets"><img alt="Research paper thumbnail of Static properties of dilute ferri- and antiferromagnets" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959403/Static_properties_of_dilute_ferri_and_antiferromagnets">Static properties of dilute ferri- and antiferromagnets</a></div><div class="wp-workCard_item"><span>AIP Conference Proceedings</span><span>, 1975</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We report microscopic calculations of the static magnetic and spin-wave properties of dilute anti...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We report microscopic calculations of the static magnetic and spin-wave properties of dilute antiferromagnets (e.g. KMn. xZn F~) and of dilute ferrimagnetic</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9b750accf15a4641addc79ffbd1f29fa" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762019,"asset_id":126959403,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762019/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959403"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959403"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959403; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959402"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959402/Once_the_Internet_can_measure_itself"><img alt="Research paper thumbnail of Once the Internet can measure itself" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959402/Once_the_Internet_can_measure_itself">Once the Internet can measure itself</a></div><div class="wp-workCard_item"><span>Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In communications, the obstacle to high bandwidth and reliable transmission is usually the interc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In communications, the obstacle to high bandwidth and reliable transmission is usually the interconnections, not the links. Nowhere is this more evident than on the Internet, where broadband connections to homes, offices and now mobile smart phones are a frequent source of frustration, and the interconnections between the roughly 50 000 subnetworks (autonomous systems or ASes) from which it is formed, even more so. The structure of the AS graph that is formed by these interconnections is unspecified, undocumented and only guessed-at through measurement, but it shows surprising efficiencies. Under recent pressures for network neutrality and openness or ‘transparency’, operators, several classes of users and regulatory bodies have a good chance of realizing these efficiencies, but they need improved measurement technology to manage this under continued growth. A long-standing vision, an Internet that measures itself, in which every intelligent port takes a part in monitoring, can make...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ed0132d720c1ffec0a4969635dee6b6a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762020,"asset_id":126959402,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762020/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959402"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959402"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959402; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959401"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959401/Random_anisotropy_models_in_the_Ising_limit"><img alt="Research paper thumbnail of Random anisotropy models in the Ising limit" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959401/Random_anisotropy_models_in_the_Ising_limit">Random anisotropy models in the Ising limit</a></div><div class="wp-workCard_item"><span>Physical Review B</span><span>, 1980</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We have performed Monte Carlo simulations on the random anisotropy axis model of Harris, Plischke...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We have performed Monte Carlo simulations on the random anisotropy axis model of Harris, Plischke, and Zuckermann (introduced to describe amorphous magnetic films such as Dy-Cu or Dy-Al) in the Ising-like limit of infinite anisotropy energy. The ground state of this model (stu- died in samples of up to 20 x 20 x 20 spins) exhibits significant short-range ferromagnetic order but no long-range magnetic order in three dimensions, supporting arguments of Pelcovits, Pytte, and Rudnick. The specific heat shows a narrow maximum but no obvious critical behavior. Relaxation studies provide evidence for a distinct stable low-temperature phase, but cannot determine whether a sharp phase transition occurs. The spin susceptibility at higher tempera- tures and magnetization as a function of field at low temperatures have been calculated. Although the absence of critical behavior in the specific heat of this model in zero field is rem- iniscent of some Ising spin-glasses, the magnetic behavior is indistinguishable t'rom that of a t'er- romagnet with moderate coercivity.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3e7dfcb10d83a643a8c9ac6c29f508f2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762023,"asset_id":126959401,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762023/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959401"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959401"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959401; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3e7dfcb10d83a643a8c9ac6c29f508f2" } } $('.js-work-strip[data-work-id=126959401]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":126959401,"title":"Random anisotropy models in the Ising limit","internal_url":"https://www.academia.edu/126959401/Random_anisotropy_models_in_the_Ising_limit","owner_id":32298185,"coauthors_can_edit":true,"owner":{"id":32298185,"first_name":"Scott","middle_initials":null,"last_name":"Kirkpatrick","page_name":"ScottKirkpatrick","domain_name":"huji","created_at":"2015-06-17T15:16:18.589-07:00","display_name":"Scott Kirkpatrick","url":"https://huji.academia.edu/ScottKirkpatrick"},"attachments":[{"id":120762023,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","file_name":"fulltext.pdf","download_url":"https://www.academia.edu/attachments/120762023/download_file","bulk_download_file_name":"Random_anisotropy_models_in_the_Ising_li.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120762023/fulltext-libre.pdf?1736608954=\u0026response-content-disposition=attachment%3B+filename%3DRandom_anisotropy_models_in_the_Ising_li.pdf\u0026Expires=1740559522\u0026Signature=ZPKkB3G86bOSEP7coXeCwYmnsmwgkO8q99KTZ2o3tPZPWEOeJvhZVjMZFRACMfxmNZsOMUtEoRqfX9ZAUYd0-zY9gctQTZvLpX6VxF-q0aDBkA-oVq2bf6ETtT9vwZNZztYYMVdkCtQ35KY9g6S-YixjBYXtJg8zvCxV-sjXzWfOSq-S1oasVLErh3~0oQLEBFj7aAInk2xr3TJ0P236FzgyxY-Bc~IyUkSsHgwcJBkpwYRDvleLtgwFyJYUb5XSePdNM~8Dde2iiKEcAgvcZJ6EsD2MapMvqWNrczFe0JYTcIcCH5YWJCkZp6zQ0U4yCj1FxZqFuyFRt0gm5woqZg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959400"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959400/Percolation_Phenomena_in_Higher_Dimensions_Approach_to_the_Mean_Field_Limit"><img alt="Research paper thumbnail of Percolation Phenomena in Higher Dimensions: Approach to the Mean-Field Limit" class="work-thumbnail" src="https://attachments.academia-assets.com/120762024/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959400/Percolation_Phenomena_in_Higher_Dimensions_Approach_to_the_Mean_Field_Limit">Percolation Phenomena in Higher Dimensions: Approach to the Mean-Field Limit</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 1976</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Percolation thresholds in two to six dimensions are studied by Monte Carlo methods in order to te...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Percolation thresholds in two to six dimensions are studied by Monte Carlo methods in order to test Toulouse s recent conjecture that at six dimensions the Bethe lattice descrip- tion of the threshold becomes exact. The results verify the existence of this critical di- mensionality, but are only qualitatively in agreement with the predictions of expansions to 6e dimensions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="495a7efd70346dd3e49a316c05dcaa71" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762024,"asset_id":126959400,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762024/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959400"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959400"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959400; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959399"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959399/Configuration_space_analysis_of_travelling_salesman_problems"><img alt="Research paper thumbnail of Configuration space analysis of travelling salesman problems" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959399/Configuration_space_analysis_of_travelling_salesman_problems">Configuration space analysis of travelling salesman problems</a></div><div class="wp-workCard_item"><span>Journal de Physique</span><span>, 1985</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">2014 Le problème du voyageur de commerce (TSP) et le modèle d'Ising d'un verre de spin sont, resp...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">2014 Le problème du voyageur de commerce (TSP) et le modèle d'Ising d'un verre de spin sont, respective- ment, des archétypes pour les problèmes d'optimisation combinatoire en informatique et pour les systèmes désor- donnés frustrés en physique de la matière condensée. Il a été suggéré récemment que ces deux domaines ont beau- coup de phénomènes en commun. Pour voir si, de fait, les problèmes d'optimisation combinatoire peuvent être des verres de spin, nous définissons un TSP à distance aléatoire aussi semblable que possible au modèle idéalisé, à portée infinie, des verres de spin. A la lumière des résultats récents pour les verres de spin, nous analysons les observables thermodynamiques et les corrélations internes entre configurations localement stables. L'hypothèse d'un gel dû à la frustration et d'une structure hiérarchique ultramétrique dans l'espace des configurations est solidement argumentée, pour ce problème de voyageur de commerce.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="90efaa3c169f4fc5583f75b0c4497a8f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761993,"asset_id":126959399,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761993/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959399"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959399"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959399; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959398"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959398/Single_Site_Approximations_in_the_Electronic_Theory_of_Simple_Binary_Alloys"><img alt="Research paper thumbnail of Single-Site Approximations in the Electronic Theory of Simple Binary Alloys" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959398/Single_Site_Approximations_in_the_Electronic_Theory_of_Simple_Binary_Alloys">Single-Site Approximations in the Electronic Theory of Simple Binary Alloys</a></div><div class="wp-workCard_item"><span>Physical Review</span><span>, 1968</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A single-band model Hamiltonian is used to describe the electronic structure of a three-dimension...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A single-band model Hamiltonian is used to describe the electronic structure of a three-dimensional disordered binary alloy. Several common theories based on the single-site approximation in a multiplescattering description are compared with exact results for this Hamiltonian. The coherent-potential theory of Soven and others is shown to be the best of these. Within the appropriate limits, it exhibits dilute-alloy, virtual-crystal, and well separated impurity-band behavior. Hubbard and Onodera's and Toyozawa's simple model density of states is employed in numerical calculations for a wide variety of concentrations and scattering-potential strengths. Explicit results are exhibited for the total density of states, the partial density contributed by each component, and such k-dependent properties as the Bloch-wave spectral density and the distribution function. These illustrate the general conclusions as well as the limitations of the quasiparticle description, I. DTTRODUCTION i 'HIS pRpcr ls coDcclncd with two Rspccts of tbc single-particle theory of the electronic structure of disordered binary alloys. It presents a systematic deriva- tion of the so-called coherent-potential (CP) theory' of such systcIQs, clariGcs its meaDlng and limitations, and discusses numerical results for a moderately realistic single-band model corresponding to R three-dimensional system. In addition it presents a number of exact re- sults for this model. These are useful as a basis for comparison with approximate calculations, Rnd also when thc two constltucnts give risc to t%'0 well-scpa" ra,ted. Sub-bands, R situation in which thc Quctuations of the random potential are so large that the CP theory is not expected to be valid. The Cp concept has generally been developed within the framework of the multiple scattering description2 of disordered systems. ' -5 In this approach the propa- gation of an electron or lattice wa, ve in an alloy is re- gaxded as a succession of elementary scatterings on the random atomic scattcrcrs& which Rlc thcD Rvcx'Rgcd ovcl Rll con6gurations of atoms. Taylor' and Soven, ' de~.»rig respectively with the case of the lattice vibration and electron-cxcitation spectrum in an alloy, returned to the Ewald-Lax theory' of multiple scattering. They viewed a given scatterer as being embedded in an effective medium whose choice was open and could be made self-consistently. This choice in turn determined an ef- fective Hamiltonian called the coherent-potential.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bcc994a002c145e854f8d23e7e198150" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762017,"asset_id":126959398,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762017/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959398"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959398"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959398; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959397"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959397/Spin_waves_in_random_ferromagnets"><img alt="Research paper thumbnail of Spin waves in random ferromagnets" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959397/Spin_waves_in_random_ferromagnets">Spin waves in random ferromagnets</a></div><div class="wp-workCard_item"><span>Physical Review B</span><span>, 1977</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">%'e consider the low-temperature spin dynamics of substitutionally disordered ferromagnetic alloy...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">%'e consider the low-temperature spin dynamics of substitutionally disordered ferromagnetic alloys. A nearest- neighbor Heisenberg Hamiltonian is assumed, The linear spin-wave approximation is made. However, the disorder is treated exactly by use of a computer-simulation technique which works for very large finite models. Densities of states, partial densities of states, and the scattering law are presented for spins diluted with nonmagnetic atoms and for mixtures of atoms having different exchange couplings. %'e give detailed results for the simple cubic lattice as well as representative cases of body-centered-and face-centered-cubic lattices. The over-all behavior is discussed in terms of the development of bands of excitations associated with each constituent as the concentrations are varied from the impurity limits. %e also compare our calculations with analytical approximations based on effective-medium theory and on exact moments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="59e385fcdfd365d0131bd01776fa81e4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762018,"asset_id":126959397,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762018/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959397"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959397"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959397; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959396"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959396/Rough_Times_Ahead"><img alt="Research paper thumbnail of Rough Times Ahead" class="work-thumbnail" src="https://attachments.academia-assets.com/120762021/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959396/Rough_Times_Ahead">Rough Times Ahead</a></div><div class="wp-workCard_item"><span>Science</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">to ~20 attoliters (1 al = 10 -18 l), and nearfield scanning optical microscopy (NSOM, panel D) , ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">to ~20 attoliters (1 al = 10 -18 l), and nearfield scanning optical microscopy (NSOM, panel D) , which allows attoliter detection volumes. NSOM is best suited to cellsurface studies where scanning is important. Single-molecule detection in reduced detection volumes can also be achieved with stimulated emission depletion (STED, panel E) . With this method, detection volumes have been reduced to 0.67 attoliters (11). The detection volume can be placed anywhere in solution, including inside a cell. However, use of STED with more than one color of fluorophore is difficult, and the STED beam is of high intensity. Another possibility is the use of nanofluidic channels to restrict the movement of molecules to a width and depth smaller than the confocal detection volume (panel F) (13). Molecules would not be near metal surfaces, and diffusion times would be longer because diffusion would be effectively one-dimensional. Finally, if superresolution lenses can be made from materials with a negative index of refraction, they may in the future be used for single-molecule detection in small volumes (14). All these methods have strengths in different areas and are suitable for different applications. The strength of the zero-mode waveguide of Levene et al. ( ) is that it allows parallel detection of many single molecules while providing the smallest detection volumes of any method reported to date, enabling single-molecule analysis of much weaker interactions than previously possible.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="17ffa14046665fe831378ed5c8f29b6f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762021,"asset_id":126959396,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762021/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959396"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959396"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959396; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959395"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959395/Spin_Glass_Behavior_in_Frustrated_Ising_Models_with_Chaotic_Renormalization_Group_Trajectories"><img alt="Research paper thumbnail of Spin-Glass Behavior in Frustrated Ising Models with Chaotic Renormalization-Group Trajectories" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959395/Spin_Glass_Behavior_in_Frustrated_Ising_Models_with_Chaotic_Renormalization_Group_Trajectories">Spin-Glass Behavior in Frustrated Ising Models with Chaotic Renormalization-Group Trajectories</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 1982</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Competing ferromagnetic and antiferromagnetic interactions are studied in hierarchical Ising mode...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Competing ferromagnetic and antiferromagnetic interactions are studied in hierarchical Ising models, which are exactly solvable with nonclassical phase transitions at finite temperature. As model parameters are changed to increase frustration, a spin-glass phase is entered with chaotic renormalization-group trajectories. At successively long- er distances, strong and weak spin correlations are encountered in a chaotic sequence. A microscopic description of a spin-glass emerges, with noncontiguous spins mutually pinned within distinct infinite subsets.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eae4a1bb268cb74739ea1e42f78e521f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762026,"asset_id":126959395,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762026/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959395"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959395"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959395; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959394"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959394/Classical_Transport_in_Disordered_Media_Scaling_and_Effective_Medium_Theories"><img alt="Research paper thumbnail of Classical Transport in Disordered Media: Scaling and Effective-Medium Theories" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959394/Classical_Transport_in_Disordered_Media_Scaling_and_Effective_Medium_Theories">Classical Transport in Disordered Media: Scaling and Effective-Medium Theories</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 1971</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Electrical conduction in resistor networks with all but a fraction p of the resistors removed is ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Electrical conduction in resistor networks with all but a fraction p of the resistors removed is studied as a paradigm of classical transport in disordered materials. A self- consistent effective-medium theory provides a quantitative description of the model, except in a small critical region, where the scaling law 0 fx (p -p,) is satisfied (in three dimensions), with p, the critical probability for bond percolation. It is also contrasted with a critical-path analysis recently developed for the study of hopping conduction. Classical limits have been invoked recently for the study of electronic conduction in disordered materials by authors" interested variously in extended states just above a mobility edge, ' or hopping conduction among localized states well below. ' ' This Letter reports three new results relating to the classical transport problems de- fined in these limits: (l) The conductivity of a Monte Carlo sampling of disordered resistor networks has been com- puted in order to resolve some current speculation about classical transport near a percola- tion' ' threshold. The results obtained should al- so describe, by inference, the mobilities of the extended electronic states of a disordered system with energies close to that of a mobility edge. ' 'J.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="69684773be64d14bfc9c17329be09045" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762022,"asset_id":126959394,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762022/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959394"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959394"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959394; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959393"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959393/Statistical_mechanics_and_disordered_systems"><img alt="Research paper thumbnail of Statistical mechanics and disordered systems" class="work-thumbnail" src="https://attachments.academia-assets.com/120761990/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959393/Statistical_mechanics_and_disordered_systems">Statistical mechanics and disordered systems</a></div><div class="wp-workCard_item"><span>Communications of the ACM</span><span>, 1985</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Since computers are able to simulate the equilibrium properties of model systems, they may also p...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Since computers are able to simulate the equilibrium properties of model systems, they may also prove useful for solving the hard optimization problems that arise in the engineering of complex systems.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="657e1cd05a7a47fc834885485ca2d6fd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761990,"asset_id":126959393,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761990/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959393"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959393"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959393; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3051255" id="papers"><div class="js-work-strip profile--work_container" data-work-id="126959412"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959412/Social_Networks_and_Spin_Glasses"><img alt="Research paper thumbnail of Social Networks and Spin Glasses" class="work-thumbnail" src="https://attachments.academia-assets.com/120762025/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959412/Social_Networks_and_Spin_Glasses">Social Networks and Spin Glasses</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The networks formed from the links between telephones observed in a month's call detail records (...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The networks formed from the links between telephones observed in a month's call detail records (CDRs) in the UK are analyzed, looking for the characteristics thought to identify a communications network or a social network. Some novel methods are employed. We find similarities to both types of network. We conclude that, just as analogies to spin glasses have proved fruitful for optimization of large scale practical problems, there will be opportunities to exploit a statistical mechanics of the formation and dynamics of social networks in today's electronically connected world.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0a06fd6781c3dd08d4158aaa0a27852c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762025,"asset_id":126959412,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762025/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959412"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959412"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959412; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=126959412]").text(description); $(".js-view-count[data-work-id=126959412]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 126959412; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='126959412']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959411"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959411/Understanding_the_present_and_future_of_cellular_networks_through_crowdsourced_traces"><img alt="Research paper thumbnail of Understanding the present and future of cellular networks through crowdsourced traces" class="work-thumbnail" src="https://attachments.academia-assets.com/120762004/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959411/Understanding_the_present_and_future_of_cellular_networks_through_crowdsourced_traces">Understanding the present and future of cellular networks through crowdsourced traces</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We focus on today's LTE systems and use realworld, crowdsourced traces to understand (i) how pres...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We focus on today's LTE systems and use realworld, crowdsourced traces to understand (i) how present-day LTE networks are deployed and to which extent they are suited to the current traffic load; (ii) how well they will withstand the traffic demand forecasted within 2020; (iii) which techniques to improve them should be pursued and how aggressively. To this end, we use two datasets, coming from WeFi and OpenSignal and available under commercial terms. We find that today's networks are composed of tangled, medium to large-sized cells, characterized by fairly high interference. Also, current networks are typically overprovisioned, but the future traffic load will pose a significant strain on them. To accommodate the forecasted mobile traffic, our study highlights the efficacy of: (i) traffic offloading for pedestrian and stationary users, (ii) increasing the available bandwidth through, e.g., spectrum refarming, (iii) mitigating interference and improving link quality for edge users through coordinated downlink transmissions. By putting in place these actions, only a negligible amount of additional cellular infrastructure will be required. Our results come from the combination of real-world traces, experimental measurements, and ITU-recommended propagation models. Each step we take is backed by real-world facts and data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2f306a7a6313a6312b68ad597f9bf45a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762004,"asset_id":126959411,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762004/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959411"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959411"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959411; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959410"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959410/Once_the_Internet_can_measure_itself"><img alt="Research paper thumbnail of Once the Internet can measure itself" class="work-thumbnail" src="https://attachments.academia-assets.com/120762003/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959410/Once_the_Internet_can_measure_itself">Once the Internet can measure itself</a></div><div class="wp-workCard_item"><span>Philosophical Transactions of the Royal Society A</span><span>, Mar 6, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In communications, the obstacle to high bandwidth and reliable transmission is usually the interc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In communications, the obstacle to high bandwidth and reliable transmission is usually the interconnections, not the links. Nowhere is this more evident than on the Internet, where broadband connections to homes, offices and now mobile smart phones are a frequent source of frustration, and the interconnections between the roughly 50 000 subnetworks (autonomous systems or ASes) from which it is formed, even more so. The structure of the AS graph that is formed by these interconnections is unspecified, undocumented and only guessedat through measurement, but it shows surprising efficiencies. Under recent pressures for network neutrality and openness or 'transparency', operators, several classes of users and regulatory bodies have a good chance of realizing these efficiencies, but they need improved measurement technology to manage this under continued growth. A long-standing vision, an Internet that measures itself, in which every intelligent port takes a part in monitoring, can make this possible and may now be within reach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="43b3a9ec22339c873392611aba796d53" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762003,"asset_id":126959410,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762003/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959410"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959410"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959410; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959409"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959409/Cellular_Network_Traces_Towards_5G_Usage_Analysis_and_Generation"><img alt="Research paper thumbnail of Cellular Network Traces Towards 5G: Usage, Analysis and Generation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959409/Cellular_Network_Traces_Towards_5G_Usage_Analysis_and_Generation">Cellular Network Traces Towards 5G: Usage, Analysis and Generation</a></div><div class="wp-workCard_item"><span>IEEE Transactions on Mobile Computing</span><span>, Mar 1, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Deployment and demand traces are a crucial tool to study today's LTE systems, as well as their ev...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Deployment and demand traces are a crucial tool to study today's LTE systems, as well as their evolution toward 5G. In this paper, we use a set of real-world, crowdsourced traces, coming from the WeFi and OpenSignal apps, to investigate how present-day networks are deployed, and the load they serve. Given this information, we present a way to generate synthetic deployment and demand profiles, retaining the same features of their real-world counterparts. We further discuss a methodology using traces (both real-world and synthetic) to assess (i) to which extent the current deployment is adequate to the current and future demand, and (ii) the effectiveness of the existing strategies to improve network capacity. Applying our methodology to real-world traces, we find that present-day LTE deployments consist of multiple, entangled, medium-to large-sized cells. Furthermore, although today's LTE networks are overprovisioned when compared to the present traffic demand, they will need substantial capacity improvements in order to face the load increase foreacasted between now and 2020.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="22009aa5113e76aa93e3a41b91f91bbf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762002,"asset_id":126959409,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762002/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959409"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959409"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959409; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959408"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959408/How_Close_to_the_Edge_Delay_utilization_tradeoffs_in_MEC"><img alt="Research paper thumbnail of How Close to the Edge? Delay/utilization tradeoffs in MEC" class="work-thumbnail" src="https://attachments.academia-assets.com/120762000/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959408/How_Close_to_the_Edge_Delay_utilization_tradeoffs_in_MEC">How Close to the Edge? Delay/utilization tradeoffs in MEC</a></div><div class="wp-workCard_item"><span>arXiv (Cornell University)</span><span>, Nov 25, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Virtually all of the rapidly increasing data traffic consumed by mobile users requires some kind ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Virtually all of the rapidly increasing data traffic consumed by mobile users requires some kind of processing, normally performed at cloud servers. A recent thrust, mobile edge computing, moves such processing to servers within the cellular mobile network. The large temporal and spatial variations to which mobile data usage is subject could make the reduced latency that edge clouds offer come at an unacceptable cost in redundant and underutilized infrastructure. We present some first empirical results on this question, based on large scale sampled crowd-sourced traces from several major cities spanning multiple operators and identifying the applications in use. We find opportunities to obtain both high server utilization and low application latency, but the best approaches will depend on the individual network operator's deployment strategy and geographic specifics of the cities we study.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0b6868dfb648853f9bad5d7efca9cd17" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762000,"asset_id":126959408,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762000/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959408"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959408"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959408; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=126959408]").text(description); $(".js-view-count[data-work-id=126959408]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 126959408; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='126959408']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0b6868dfb648853f9bad5d7efca9cd17" } } $('.js-work-strip[data-work-id=126959408]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":126959408,"title":"How Close to the Edge? Delay/utilization tradeoffs in MEC","internal_url":"https://www.academia.edu/126959408/How_Close_to_the_Edge_Delay_utilization_tradeoffs_in_MEC","owner_id":32298185,"coauthors_can_edit":true,"owner":{"id":32298185,"first_name":"Scott","middle_initials":null,"last_name":"Kirkpatrick","page_name":"ScottKirkpatrick","domain_name":"huji","created_at":"2015-06-17T15:16:18.589-07:00","display_name":"Scott Kirkpatrick","url":"https://huji.academia.edu/ScottKirkpatrick"},"attachments":[{"id":120762000,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/120762000/thumbnails/1.jpg","file_name":"1611.pdf","download_url":"https://www.academia.edu/attachments/120762000/download_file","bulk_download_file_name":"How_Close_to_the_Edge_Delay_utilization.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120762000/1611-libre.pdf?1736608940=\u0026response-content-disposition=attachment%3B+filename%3DHow_Close_to_the_Edge_Delay_utilization.pdf\u0026Expires=1740559521\u0026Signature=UF6~rugt0fM8-ZcCZnWx4bHOYcCRy~rabVgpCVYJcfTpETXy5o930aHDfxy4g-nvcmdwKUMuSLqwLmk0qa2hCQHmfvZ4XftETUZU1mkWAjiPXd4lzCQROu7Y~HCCfEfybUd6GiPoyVnfpMB7AVCxJarkf5Ui53WAeSkILd2YXchDrynbqmXLMQY2fJu-SS72HR3sTBS1TxxcCFefOfc3Z6sZTaQfPqDu0VwJI3scfgIrARPmWaZvy3r60vCst-~4b0AxzBwWu1wK2T2CXokgr7CMXnWidPZOu8pjponQ9d0NjAiLWTr3ohDlXj1bAp8V9tGjGIj2AV6Nc8OZ5KNxYg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":120761999,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/120761999/thumbnails/1.jpg","file_name":"1611.pdf","download_url":"https://www.academia.edu/attachments/120761999/download_file","bulk_download_file_name":"How_Close_to_the_Edge_Delay_utilization.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120761999/1611-libre.pdf?1736608943=\u0026response-content-disposition=attachment%3B+filename%3DHow_Close_to_the_Edge_Delay_utilization.pdf\u0026Expires=1740559521\u0026Signature=DosLfNBxckb25eYyCdUTcij8Xi1~dbfpUDyDpc~OOS75ePQTSbpzPj8tizgu7vykI4vGsFM0lNCpXHhiiVlIVtzQcaIccRL9wSKIKmCs-rJmotkfgO56mTCkQK6-EUNgZxmX42MdPE8wxTfsEkeox3rom~FnhlEh9oKrvloUPH2dSvb9pfWZ94ygZK7PSmBSh62NgT18EbpJexub~PoiykoDQWOgCvjdsx2ms5HENRoLeP7OWOGHyBRQXSspVP5hTNzrH7OMXVIhRelSPuk-GTPO5MAnq4QJyAgdBjC4EOVyHeCivo3KbN~qEgr7gXQqQaTm0OU7ROGM1365qKPWSQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959407"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959407/The_impact_of_vehicular_traffic_demand_on_5G_caching_architectures_A_data_driven_study"><img alt="Research paper thumbnail of The impact of vehicular traffic demand on 5G caching architectures: A data-driven study" class="work-thumbnail" src="https://attachments.academia-assets.com/120761997/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959407/The_impact_of_vehicular_traffic_demand_on_5G_caching_architectures_A_data_driven_study">The impact of vehicular traffic demand on 5G caching architectures: A data-driven study</a></div><div class="wp-workCard_item"><span>Vehicular Communications</span><span>, Apr 1, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The emergence of in-vehicle entertainment systems and self-driving vehicles, and the latters' nee...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The emergence of in-vehicle entertainment systems and self-driving vehicles, and the latters' need for high-resolution, up-to-date maps, will bring a further increase in the amount of data vehicles consume. Considering how difficult Wi-Fi offloading in vehicular environments is, the bulk of this additional load will be served by cellular networks. Cellular networks, in turn, will resort to caching at the network edge in order to reduce the strain on their core network -an approach also known as mobile edge computing, or "fog computing". In this work, we exploit a real-world, large-scale trace coming from the users of the We-Fi app in order to (i) understand how significant the contribution of vehicular users is to the global traffic demand; (ii) compare the performance of different caching architectures; and (iii) studying how such a performance is influenced by recommendation systems and content locality. We express the price of "fog computing" through a metric called price-of-fog, accounting for the extra caches to deploy compared to a traditional, centralized approach. We find that "fog computing" allows a very significant reduction of the load on the core network, and the price thereof is low in all cases and becomes negligible if content demand is location specific. We can therefore conclude that vehicular networks make an excellent case for the transition to mobile-edge caching: thanks to the peculiar features of vehicular demand, we can obtain all the benefits of "fog computing", including a reduction of the load on the core network -reducing the disadvantages to a minimum.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e8c67b87e26f96814c64bf6e32ecf781" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761997,"asset_id":126959407,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761997/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959407"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959407"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959407; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e8c67b87e26f96814c64bf6e32ecf781" } } $('.js-work-strip[data-work-id=126959407]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":126959407,"title":"The impact of vehicular traffic demand on 5G caching architectures: A data-driven study","internal_url":"https://www.academia.edu/126959407/The_impact_of_vehicular_traffic_demand_on_5G_caching_architectures_A_data_driven_study","owner_id":32298185,"coauthors_can_edit":true,"owner":{"id":32298185,"first_name":"Scott","middle_initials":null,"last_name":"Kirkpatrick","page_name":"ScottKirkpatrick","domain_name":"huji","created_at":"2015-06-17T15:16:18.589-07:00","display_name":"Scott Kirkpatrick","url":"https://huji.academia.edu/ScottKirkpatrick"},"attachments":[{"id":120761997,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/120761997/thumbnails/1.jpg","file_name":"1611.pdf","download_url":"https://www.academia.edu/attachments/120761997/download_file","bulk_download_file_name":"The_impact_of_vehicular_traffic_demand_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120761997/1611-libre.pdf?1736608949=\u0026response-content-disposition=attachment%3B+filename%3DThe_impact_of_vehicular_traffic_demand_o.pdf\u0026Expires=1740559521\u0026Signature=DTHjkePrYDr9fFZUijPfPorf3pT~xd6lwIVjTwbaIvEuwWGIywhXVVYtCJHafIbMErjHk6D8FysnoRO4niZn1GtAseep3je91qRS0Iggzy1rb8HE2gNbInrVft4AbTIX3D6sexi13M2ch2bPvqDd1mcpQ0hm0dJXaaFsDLsaKbPPT1LF9en45MYVKQ6xDGuFSKeRtYgWaF6hh1552kG674gMzerfuLUm6rb9aWdJkYOJqooyRtvh7SwM9v9E71gR--sOoC3RerbeeCbFvDq5Sgt3Qbf0ESYH9GqaHbu0hhNEpHgwZ5dq3ovVG19Zx0U03e9SSSnH2MoxO~3MnKD79g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":120761998,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","file_name":"1611.pdf","download_url":"https://www.academia.edu/attachments/120761998/download_file","bulk_download_file_name":"The_impact_of_vehicular_traffic_demand_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120761998/1611-libre.pdf?1736608951=\u0026response-content-disposition=attachment%3B+filename%3DThe_impact_of_vehicular_traffic_demand_o.pdf\u0026Expires=1740559521\u0026Signature=argnQxSoaPIUgb9WKTdj-rSpT-cDxWJiadpezd0raHaUC1LgxelByT3QzVYTKRR~wrG~bNcbyddxam1XkQ3lF0X7DfbvOfyerZClQoSR4DzcV8cKU7SB425neZEMngU7bRyTHiP509-dje2HTq3g45Tpeg9NrmDIT-LNAVYRkcAOeDRUjkndJn2i-SldC9DAlY4vQpg05CyPYydkusMrNBj7uGXn50FLWd0mYThE3Ga1FbbWcLUU5KgImJGZl4oPlzrFiJcSPZeNtJcu0aKSvhNRG6OdHP4TyWCWdmxH~4YSKz0U0r4LNsjNn~l2lH7QSULtg0RtIoNkssN4igVOhA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959406"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959406/Mining_the_Air_for_Research_in_Social_Science_and_Networking_Measurement"><img alt="Research paper thumbnail of Mining the Air -- for Research in Social Science and Networking Measurement" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959406/Mining_the_Air_for_Research_in_Social_Science_and_Networking_Measurement">Mining the Air -- for Research in Social Science and Networking Measurement</a></div><div class="wp-workCard_item"><span>arXiv (Cornell University)</span><span>, Jun 19, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Smartphone apps provide a vitally important opportunity for monitoring human mobility, human expe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Smartphone apps provide a vitally important opportunity for monitoring human mobility, human experience of ubiquitous information aids, and human activity in our increasingly wellinstrumented spaces. As wireless data capabilities move steadily up in performance, from 2&3G to 4G (today's LTE) and 5G, it has become more important to measure human activity in this connected world from the phones themselves. The newer protocols serve larger areas than ever before and a wider range of data, not just voice calls, so only the phone can accurately measure its location. Access to the application activity permits not only monitoring the performance and spatial coverage with which the users are served, but as a crowd-sourced, unbiased background source of input on all these subjects, becomes a uniquely valuable resource for input to social science and government as well as telecom providers. The public also stands to benefit. National and regional regulators tasked to ensure that consumers are getting the communications bandwidth, coverage and capability that were advertised and they paid for, are beginning to use crowd-sourced measurements from the edge to provide public "report cards" of communications quality. We have been working with data captured by applications based on the phones, authorized by their users to capture location information and share it to build a public database of internet access performance. We have used most extensively results from an Israeli startup called WeFi , which observes the category of application in use during some of its measurements and determines upload and download data volumes and rates. We have, in all, about 3 billion measurements from five US cities and their surroundings, Atlanta, Boston, Brooklyn, Los Angeles and San Francisco, for several months in each location during 2014 and 2015. Our data has been presented in several publications that address issues in mobile network planning and management. One surprising result is the range over which each cell antenna is received. Earlier studies in which the data source is a carrier have used the cell tower locations as a proxy for user location. In this study, which sees all carriers in each city, we first estimated the locations of the cell towers, which were named in each measurement record, as the centroid of all the observations where a tower was seen. Cell dimensions of several km are observed. By contrast, the phone locations are known to GPS accuracy, with errors as little as 10m.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cd0c4b1e8ebae57573fb749579f1c567" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761996,"asset_id":126959406,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761996/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959406"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959406"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959406; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959405"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959405/From_Megabits_to_CPU_Ticks_Enriching_a_Demand_Trace_in_the_Age_of_MEC"><img alt="Research paper thumbnail of From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959405/From_Megabits_to_CPU_Ticks_Enriching_a_Demand_Trace_in_the_Age_of_MEC">From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC</a></div><div class="wp-workCard_item"><span>IEEE Transactions on Big Data</span><span>, Mar 1, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">All the content consumed by mobile users, be it a web page or a live stream, undergoes some proce...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">All the content consumed by mobile users, be it a web page or a live stream, undergoes some processing along the way; as an example, web pages and videos are transcoded to fit each device's screen. The recent multi-access edge computing (MEC) paradigm envisions performing such processing within the cellular network, as opposed to resorting to a cloud server on the Internet. Designing a MEC network, i.e., placing and dimensioning the computational facilities therein, requires information on how much computational power is required to produce the contents needed by the users. However, real-world demand traces only contain information on how much data is downloaded. In this paper, we demonstrate how to enrich demand traces with information about the computational power needed to process the different types of content, and we show the substantial benefit that can be obtained from using such enriched traces for the design of MEC-based networks.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="88e2a7f81a94ae20cb2bdbcc7b76e732" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761994,"asset_id":126959405,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761994/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959405"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959405"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959405; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959403"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959403/Static_properties_of_dilute_ferri_and_antiferromagnets"><img alt="Research paper thumbnail of Static properties of dilute ferri- and antiferromagnets" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959403/Static_properties_of_dilute_ferri_and_antiferromagnets">Static properties of dilute ferri- and antiferromagnets</a></div><div class="wp-workCard_item"><span>AIP Conference Proceedings</span><span>, 1975</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We report microscopic calculations of the static magnetic and spin-wave properties of dilute anti...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We report microscopic calculations of the static magnetic and spin-wave properties of dilute antiferromagnets (e.g. KMn. xZn F~) and of dilute ferrimagnetic</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9b750accf15a4641addc79ffbd1f29fa" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762019,"asset_id":126959403,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762019/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959403"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959403"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959403; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959402"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959402/Once_the_Internet_can_measure_itself"><img alt="Research paper thumbnail of Once the Internet can measure itself" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959402/Once_the_Internet_can_measure_itself">Once the Internet can measure itself</a></div><div class="wp-workCard_item"><span>Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In communications, the obstacle to high bandwidth and reliable transmission is usually the interc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In communications, the obstacle to high bandwidth and reliable transmission is usually the interconnections, not the links. Nowhere is this more evident than on the Internet, where broadband connections to homes, offices and now mobile smart phones are a frequent source of frustration, and the interconnections between the roughly 50 000 subnetworks (autonomous systems or ASes) from which it is formed, even more so. The structure of the AS graph that is formed by these interconnections is unspecified, undocumented and only guessed-at through measurement, but it shows surprising efficiencies. Under recent pressures for network neutrality and openness or ‘transparency’, operators, several classes of users and regulatory bodies have a good chance of realizing these efficiencies, but they need improved measurement technology to manage this under continued growth. A long-standing vision, an Internet that measures itself, in which every intelligent port takes a part in monitoring, can make...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ed0132d720c1ffec0a4969635dee6b6a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762020,"asset_id":126959402,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762020/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959402"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959402"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959402; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959401"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959401/Random_anisotropy_models_in_the_Ising_limit"><img alt="Research paper thumbnail of Random anisotropy models in the Ising limit" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959401/Random_anisotropy_models_in_the_Ising_limit">Random anisotropy models in the Ising limit</a></div><div class="wp-workCard_item"><span>Physical Review B</span><span>, 1980</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We have performed Monte Carlo simulations on the random anisotropy axis model of Harris, Plischke...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We have performed Monte Carlo simulations on the random anisotropy axis model of Harris, Plischke, and Zuckermann (introduced to describe amorphous magnetic films such as Dy-Cu or Dy-Al) in the Ising-like limit of infinite anisotropy energy. The ground state of this model (stu- died in samples of up to 20 x 20 x 20 spins) exhibits significant short-range ferromagnetic order but no long-range magnetic order in three dimensions, supporting arguments of Pelcovits, Pytte, and Rudnick. The specific heat shows a narrow maximum but no obvious critical behavior. Relaxation studies provide evidence for a distinct stable low-temperature phase, but cannot determine whether a sharp phase transition occurs. The spin susceptibility at higher tempera- tures and magnetization as a function of field at low temperatures have been calculated. Although the absence of critical behavior in the specific heat of this model in zero field is rem- iniscent of some Ising spin-glasses, the magnetic behavior is indistinguishable t'rom that of a t'er- romagnet with moderate coercivity.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3e7dfcb10d83a643a8c9ac6c29f508f2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762023,"asset_id":126959401,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762023/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959401"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959401"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959401; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3e7dfcb10d83a643a8c9ac6c29f508f2" } } $('.js-work-strip[data-work-id=126959401]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":126959401,"title":"Random anisotropy models in the Ising limit","internal_url":"https://www.academia.edu/126959401/Random_anisotropy_models_in_the_Ising_limit","owner_id":32298185,"coauthors_can_edit":true,"owner":{"id":32298185,"first_name":"Scott","middle_initials":null,"last_name":"Kirkpatrick","page_name":"ScottKirkpatrick","domain_name":"huji","created_at":"2015-06-17T15:16:18.589-07:00","display_name":"Scott Kirkpatrick","url":"https://huji.academia.edu/ScottKirkpatrick"},"attachments":[{"id":120762023,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","file_name":"fulltext.pdf","download_url":"https://www.academia.edu/attachments/120762023/download_file","bulk_download_file_name":"Random_anisotropy_models_in_the_Ising_li.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/120762023/fulltext-libre.pdf?1736608954=\u0026response-content-disposition=attachment%3B+filename%3DRandom_anisotropy_models_in_the_Ising_li.pdf\u0026Expires=1740559522\u0026Signature=ZPKkB3G86bOSEP7coXeCwYmnsmwgkO8q99KTZ2o3tPZPWEOeJvhZVjMZFRACMfxmNZsOMUtEoRqfX9ZAUYd0-zY9gctQTZvLpX6VxF-q0aDBkA-oVq2bf6ETtT9vwZNZztYYMVdkCtQ35KY9g6S-YixjBYXtJg8zvCxV-sjXzWfOSq-S1oasVLErh3~0oQLEBFj7aAInk2xr3TJ0P236FzgyxY-Bc~IyUkSsHgwcJBkpwYRDvleLtgwFyJYUb5XSePdNM~8Dde2iiKEcAgvcZJ6EsD2MapMvqWNrczFe0JYTcIcCH5YWJCkZp6zQ0U4yCj1FxZqFuyFRt0gm5woqZg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959400"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959400/Percolation_Phenomena_in_Higher_Dimensions_Approach_to_the_Mean_Field_Limit"><img alt="Research paper thumbnail of Percolation Phenomena in Higher Dimensions: Approach to the Mean-Field Limit" class="work-thumbnail" src="https://attachments.academia-assets.com/120762024/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959400/Percolation_Phenomena_in_Higher_Dimensions_Approach_to_the_Mean_Field_Limit">Percolation Phenomena in Higher Dimensions: Approach to the Mean-Field Limit</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 1976</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Percolation thresholds in two to six dimensions are studied by Monte Carlo methods in order to te...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Percolation thresholds in two to six dimensions are studied by Monte Carlo methods in order to test Toulouse s recent conjecture that at six dimensions the Bethe lattice descrip- tion of the threshold becomes exact. The results verify the existence of this critical di- mensionality, but are only qualitatively in agreement with the predictions of expansions to 6e dimensions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="495a7efd70346dd3e49a316c05dcaa71" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762024,"asset_id":126959400,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762024/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959400"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959400"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959400; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959399"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959399/Configuration_space_analysis_of_travelling_salesman_problems"><img alt="Research paper thumbnail of Configuration space analysis of travelling salesman problems" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959399/Configuration_space_analysis_of_travelling_salesman_problems">Configuration space analysis of travelling salesman problems</a></div><div class="wp-workCard_item"><span>Journal de Physique</span><span>, 1985</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">2014 Le problème du voyageur de commerce (TSP) et le modèle d'Ising d'un verre de spin sont, resp...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">2014 Le problème du voyageur de commerce (TSP) et le modèle d'Ising d'un verre de spin sont, respective- ment, des archétypes pour les problèmes d'optimisation combinatoire en informatique et pour les systèmes désor- donnés frustrés en physique de la matière condensée. Il a été suggéré récemment que ces deux domaines ont beau- coup de phénomènes en commun. Pour voir si, de fait, les problèmes d'optimisation combinatoire peuvent être des verres de spin, nous définissons un TSP à distance aléatoire aussi semblable que possible au modèle idéalisé, à portée infinie, des verres de spin. A la lumière des résultats récents pour les verres de spin, nous analysons les observables thermodynamiques et les corrélations internes entre configurations localement stables. L'hypothèse d'un gel dû à la frustration et d'une structure hiérarchique ultramétrique dans l'espace des configurations est solidement argumentée, pour ce problème de voyageur de commerce.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="90efaa3c169f4fc5583f75b0c4497a8f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120761993,"asset_id":126959399,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120761993/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959399"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959399"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959399; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959398"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959398/Single_Site_Approximations_in_the_Electronic_Theory_of_Simple_Binary_Alloys"><img alt="Research paper thumbnail of Single-Site Approximations in the Electronic Theory of Simple Binary Alloys" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959398/Single_Site_Approximations_in_the_Electronic_Theory_of_Simple_Binary_Alloys">Single-Site Approximations in the Electronic Theory of Simple Binary Alloys</a></div><div class="wp-workCard_item"><span>Physical Review</span><span>, 1968</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A single-band model Hamiltonian is used to describe the electronic structure of a three-dimension...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A single-band model Hamiltonian is used to describe the electronic structure of a three-dimensional disordered binary alloy. Several common theories based on the single-site approximation in a multiplescattering description are compared with exact results for this Hamiltonian. The coherent-potential theory of Soven and others is shown to be the best of these. Within the appropriate limits, it exhibits dilute-alloy, virtual-crystal, and well separated impurity-band behavior. Hubbard and Onodera's and Toyozawa's simple model density of states is employed in numerical calculations for a wide variety of concentrations and scattering-potential strengths. Explicit results are exhibited for the total density of states, the partial density contributed by each component, and such k-dependent properties as the Bloch-wave spectral density and the distribution function. These illustrate the general conclusions as well as the limitations of the quasiparticle description, I. DTTRODUCTION i 'HIS pRpcr ls coDcclncd with two Rspccts of tbc single-particle theory of the electronic structure of disordered binary alloys. It presents a systematic deriva- tion of the so-called coherent-potential (CP) theory' of such systcIQs, clariGcs its meaDlng and limitations, and discusses numerical results for a moderately realistic single-band model corresponding to R three-dimensional system. In addition it presents a number of exact re- sults for this model. These are useful as a basis for comparison with approximate calculations, Rnd also when thc two constltucnts give risc to t%'0 well-scpa" ra,ted. Sub-bands, R situation in which thc Quctuations of the random potential are so large that the CP theory is not expected to be valid. The Cp concept has generally been developed within the framework of the multiple scattering description2 of disordered systems. ' -5 In this approach the propa- gation of an electron or lattice wa, ve in an alloy is re- gaxded as a succession of elementary scatterings on the random atomic scattcrcrs& which Rlc thcD Rvcx'Rgcd ovcl Rll con6gurations of atoms. Taylor' and Soven, ' de~.»rig respectively with the case of the lattice vibration and electron-cxcitation spectrum in an alloy, returned to the Ewald-Lax theory' of multiple scattering. They viewed a given scatterer as being embedded in an effective medium whose choice was open and could be made self-consistently. This choice in turn determined an ef- fective Hamiltonian called the coherent-potential.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bcc994a002c145e854f8d23e7e198150" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762017,"asset_id":126959398,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762017/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959398"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959398"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959398; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959397"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959397/Spin_waves_in_random_ferromagnets"><img alt="Research paper thumbnail of Spin waves in random ferromagnets" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959397/Spin_waves_in_random_ferromagnets">Spin waves in random ferromagnets</a></div><div class="wp-workCard_item"><span>Physical Review B</span><span>, 1977</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">%'e consider the low-temperature spin dynamics of substitutionally disordered ferromagnetic alloy...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">%'e consider the low-temperature spin dynamics of substitutionally disordered ferromagnetic alloys. A nearest- neighbor Heisenberg Hamiltonian is assumed, The linear spin-wave approximation is made. However, the disorder is treated exactly by use of a computer-simulation technique which works for very large finite models. Densities of states, partial densities of states, and the scattering law are presented for spins diluted with nonmagnetic atoms and for mixtures of atoms having different exchange couplings. %'e give detailed results for the simple cubic lattice as well as representative cases of body-centered-and face-centered-cubic lattices. The over-all behavior is discussed in terms of the development of bands of excitations associated with each constituent as the concentrations are varied from the impurity limits. %e also compare our calculations with analytical approximations based on effective-medium theory and on exact moments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="59e385fcdfd365d0131bd01776fa81e4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762018,"asset_id":126959397,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762018/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959397"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959397"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959397; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959396"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959396/Rough_Times_Ahead"><img alt="Research paper thumbnail of Rough Times Ahead" class="work-thumbnail" src="https://attachments.academia-assets.com/120762021/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959396/Rough_Times_Ahead">Rough Times Ahead</a></div><div class="wp-workCard_item"><span>Science</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">to ~20 attoliters (1 al = 10 -18 l), and nearfield scanning optical microscopy (NSOM, panel D) , ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">to ~20 attoliters (1 al = 10 -18 l), and nearfield scanning optical microscopy (NSOM, panel D) , which allows attoliter detection volumes. NSOM is best suited to cellsurface studies where scanning is important. Single-molecule detection in reduced detection volumes can also be achieved with stimulated emission depletion (STED, panel E) . With this method, detection volumes have been reduced to 0.67 attoliters (11). The detection volume can be placed anywhere in solution, including inside a cell. However, use of STED with more than one color of fluorophore is difficult, and the STED beam is of high intensity. Another possibility is the use of nanofluidic channels to restrict the movement of molecules to a width and depth smaller than the confocal detection volume (panel F) (13). Molecules would not be near metal surfaces, and diffusion times would be longer because diffusion would be effectively one-dimensional. Finally, if superresolution lenses can be made from materials with a negative index of refraction, they may in the future be used for single-molecule detection in small volumes (14). All these methods have strengths in different areas and are suitable for different applications. The strength of the zero-mode waveguide of Levene et al. ( ) is that it allows parallel detection of many single molecules while providing the smallest detection volumes of any method reported to date, enabling single-molecule analysis of much weaker interactions than previously possible.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="17ffa14046665fe831378ed5c8f29b6f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762021,"asset_id":126959396,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762021/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959396"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959396"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959396; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959395"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959395/Spin_Glass_Behavior_in_Frustrated_Ising_Models_with_Chaotic_Renormalization_Group_Trajectories"><img alt="Research paper thumbnail of Spin-Glass Behavior in Frustrated Ising Models with Chaotic Renormalization-Group Trajectories" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959395/Spin_Glass_Behavior_in_Frustrated_Ising_Models_with_Chaotic_Renormalization_Group_Trajectories">Spin-Glass Behavior in Frustrated Ising Models with Chaotic Renormalization-Group Trajectories</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 1982</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Competing ferromagnetic and antiferromagnetic interactions are studied in hierarchical Ising mode...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Competing ferromagnetic and antiferromagnetic interactions are studied in hierarchical Ising models, which are exactly solvable with nonclassical phase transitions at finite temperature. As model parameters are changed to increase frustration, a spin-glass phase is entered with chaotic renormalization-group trajectories. At successively long- er distances, strong and weak spin correlations are encountered in a chaotic sequence. A microscopic description of a spin-glass emerges, with noncontiguous spins mutually pinned within distinct infinite subsets.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eae4a1bb268cb74739ea1e42f78e521f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762026,"asset_id":126959395,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762026/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959395"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959395"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959395; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="126959394"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/126959394/Classical_Transport_in_Disordered_Media_Scaling_and_Effective_Medium_Theories"><img alt="Research paper thumbnail of Classical Transport in Disordered Media: Scaling and Effective-Medium Theories" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/126959394/Classical_Transport_in_Disordered_Media_Scaling_and_Effective_Medium_Theories">Classical Transport in Disordered Media: Scaling and Effective-Medium Theories</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 1971</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Electrical conduction in resistor networks with all but a fraction p of the resistors removed is ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Electrical conduction in resistor networks with all but a fraction p of the resistors removed is studied as a paradigm of classical transport in disordered materials. A self- consistent effective-medium theory provides a quantitative description of the model, except in a small critical region, where the scaling law 0 fx (p -p,) is satisfied (in three dimensions), with p, the critical probability for bond percolation. It is also contrasted with a critical-path analysis recently developed for the study of hopping conduction. Classical limits have been invoked recently for the study of electronic conduction in disordered materials by authors" interested variously in extended states just above a mobility edge, ' or hopping conduction among localized states well below. ' ' This Letter reports three new results relating to the classical transport problems de- fined in these limits: (l) The conductivity of a Monte Carlo sampling of disordered resistor networks has been com- puted in order to resolve some current speculation about classical transport near a percola- tion' ' threshold. The results obtained should al- so describe, by inference, the mobilities of the extended electronic states of a disordered system with energies close to that of a mobility edge. ' 'J.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="69684773be64d14bfc9c17329be09045" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":120762022,"asset_id":126959394,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/120762022/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="126959394"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="126959394"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 126959394; 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