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(URI)</option><option value="author_id">arXiv author ID</option><option value="help">Help pages</option><option value="full_text">Full text</option></select> <input id="query" name="query" type="text" value="Zoupanos, S"> <ul id="abstracts"><li><input checked id="abstracts-0" name="abstracts" type="radio" value="show"> <label for="abstracts-0">Show abstracts</label></li><li><input id="abstracts-1" name="abstracts" type="radio" value="hide"> <label for="abstracts-1">Hide abstracts</label></li></ul> </div> <div class="box field is-grouped is-grouped-multiline level-item"> <div class="control"> <span class="select is-small"> <select id="size" name="size"><option value="25">25</option><option selected value="50">50</option><option value="100">100</option><option value="200">200</option></select> </span> <label for="size">results per page</label>. </div> <div class="control"> <label for="order">Sort results by</label> <span class="select is-small"> <select id="order" name="order"><option selected value="-announced_date_first">Announcement date (newest first)</option><option value="announced_date_first">Announcement date (oldest first)</option><option value="-submitted_date">Submission date (newest first)</option><option value="submitted_date">Submission date (oldest first)</option><option value="">Relevance</option></select> </span> </div> <div class="control"> <button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2204.00820">arXiv:2204.00820</a> <span> [<a href="https://arxiv.org/pdf/2204.00820">pdf</a>, <a href="https://arxiv.org/format/2204.00820">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> Efficient comparison of sentence embeddings </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Zoupanos%2C+S">Spyros Zoupanos</a>, <a href="/search/cs?searchtype=author&query=Kolovos%2C+S">Stratis Kolovos</a>, <a href="/search/cs?searchtype=author&query=Kanavos%2C+A">Athanasios Kanavos</a>, <a href="/search/cs?searchtype=author&query=Papadimitriou%2C+O">Orestis Papadimitriou</a>, <a href="/search/cs?searchtype=author&query=Maragoudakis%2C+M">Manolis Maragoudakis</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2204.00820v2-abstract-short" style="display: inline;"> The domain of natural language processing (NLP), which has greatly evolved over the last years, has highly benefited from the recent developments in word and sentence embeddings. Such embeddings enable the transformation of complex NLP tasks, like semantic similarity or Question and Answering (Q&A), into much simpler to perform vector comparisons. However, such a problem transformation raises new… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2204.00820v2-abstract-full').style.display = 'inline'; document.getElementById('2204.00820v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2204.00820v2-abstract-full" style="display: none;"> The domain of natural language processing (NLP), which has greatly evolved over the last years, has highly benefited from the recent developments in word and sentence embeddings. Such embeddings enable the transformation of complex NLP tasks, like semantic similarity or Question and Answering (Q&A), into much simpler to perform vector comparisons. However, such a problem transformation raises new challenges like the efficient comparison of embeddings and their manipulation. In this work, we will discuss about various word and sentence embeddings algorithms, we will select a sentence embedding algorithm, BERT, as our algorithm of choice and we will evaluate the performance of two vector comparison approaches, FAISS and Elasticsearch, in the specific problem of sentence embeddings. According to the results, FAISS outperforms Elasticsearch when used in a centralized environment with only one node, especially when big datasets are included. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2204.00820v2-abstract-full').style.display = 'none'; document.getElementById('2204.00820v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 April, 2022; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 2 April, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">8 pages, 2 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> I.2.7; H.4.0 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2105.05564">arXiv:2105.05564</a> <span> [<a href="https://arxiv.org/pdf/2105.05564">pdf</a>, <a href="https://arxiv.org/format/2105.05564">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Networking and Internet Architecture">cs.NI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Information Theory">cs.IT</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Nomikos%2C+N">Nikolaos Nomikos</a>, <a href="/search/cs?searchtype=author&query=Zoupanos%2C+S">Spyros Zoupanos</a>, <a href="/search/cs?searchtype=author&query=Charalambous%2C+T">Themistoklis Charalambous</a>, <a href="/search/cs?searchtype=author&query=Krikidis%2C+I">Ioannis Krikidis</a>, <a href="/search/cs?searchtype=author&query=Petropulu%2C+A">Athina Petropulu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2105.05564v3-abstract-short" style="display: inline;"> Mobile networks are experiencing tremendous increase in data volume and user density. An efficient technique to alleviate this issue is to bring the data closer to the users by exploiting the caches of edge network nodes, such as fixed or mobile access points and even user devices. Meanwhile, the fusion of machine learning and wireless networks offers a viable way for network optimization as oppos… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2105.05564v3-abstract-full').style.display = 'inline'; document.getElementById('2105.05564v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2105.05564v3-abstract-full" style="display: none;"> Mobile networks are experiencing tremendous increase in data volume and user density. An efficient technique to alleviate this issue is to bring the data closer to the users by exploiting the caches of edge network nodes, such as fixed or mobile access points and even user devices. Meanwhile, the fusion of machine learning and wireless networks offers a viable way for network optimization as opposed to traditional optimization approaches which incur high complexity, or fail to provide optimal solutions. Among the various machine learning categories, reinforcement learning operates in an online and autonomous manner without relying on large sets of historical data for training. In this survey, reinforcement learning-aided mobile edge caching is presented, aiming at highlighting the achieved network gains over conventional caching approaches. Taking into account the heterogeneity of sixth generation (6G) networks in various wireless settings, such as fixed, vehicular and flying networks, learning-aided edge caching is presented, departing from traditional architectures. Furthermore, a categorization according to the desirable performance metric, such as spectral, energy and caching efficiency, average delay, and backhaul and fronthaul offloading is provided. Finally, several open issues are discussed, targeting to stimulate further interest in this important research field. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2105.05564v3-abstract-full').style.display = 'none'; document.getElementById('2105.05564v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 May, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 12 May, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">26 pages, 7 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2003.12476">arXiv:2003.12476</a> <span> [<a href="https://arxiv.org/pdf/2003.12476">pdf</a>, <a href="https://arxiv.org/format/2003.12476">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Materials Science">cond-mat.mtrl-sci</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1038/s41597-020-00638-4">10.1038/s41597-020-00638-4 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Huber%2C+S+P">Sebastiaan. P. Huber</a>, <a href="/search/cs?searchtype=author&query=Zoupanos%2C+S">Spyros Zoupanos</a>, <a href="/search/cs?searchtype=author&query=Uhrin%2C+M">Martin Uhrin</a>, <a href="/search/cs?searchtype=author&query=Talirz%2C+L">Leopold Talirz</a>, <a href="/search/cs?searchtype=author&query=Kahle%2C+L">Leonid Kahle</a>, <a href="/search/cs?searchtype=author&query=H%C3%A4uselmann%2C+R">Rico H盲uselmann</a>, <a href="/search/cs?searchtype=author&query=Gresch%2C+D">Dominik Gresch</a>, <a href="/search/cs?searchtype=author&query=M%C3%BCller%2C+T">Tiziano M眉ller</a>, <a href="/search/cs?searchtype=author&query=Yakutovich%2C+A+V">Aliaksandr V. Yakutovich</a>, <a href="/search/cs?searchtype=author&query=Andersen%2C+C+W">Casper W. Andersen</a>, <a href="/search/cs?searchtype=author&query=Ramirez%2C+F+F">Francisco F. Ramirez</a>, <a href="/search/cs?searchtype=author&query=Adorf%2C+C+S">Carl S. Adorf</a>, <a href="/search/cs?searchtype=author&query=Gargiulo%2C+F">Fernando Gargiulo</a>, <a href="/search/cs?searchtype=author&query=Kumbhar%2C+S">Snehal Kumbhar</a>, <a href="/search/cs?searchtype=author&query=Passaro%2C+E">Elsa Passaro</a>, <a href="/search/cs?searchtype=author&query=Johnston%2C+C">Conrad Johnston</a>, <a href="/search/cs?searchtype=author&query=Merkys%2C+A">Andrius Merkys</a>, <a href="/search/cs?searchtype=author&query=Cepellotti%2C+A">Andrea Cepellotti</a>, <a href="/search/cs?searchtype=author&query=Mounet%2C+N">Nicolas Mounet</a>, <a href="/search/cs?searchtype=author&query=Marzari%2C+N">Nicola Marzari</a>, <a href="/search/cs?searchtype=author&query=Kozinsky%2C+B">Boris Kozinsky</a>, <a href="/search/cs?searchtype=author&query=Pizzi%2C+G">Giovanni Pizzi</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2003.12476v1-abstract-short" style="display: inline;"> The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and data to manage. Next-generation exascale supercomputers will harden these challenges, such that automated and scalable solutions become crucial.… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2003.12476v1-abstract-full').style.display = 'inline'; document.getElementById('2003.12476v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2003.12476v1-abstract-full" style="display: none;"> The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and data to manage. Next-generation exascale supercomputers will harden these challenges, such that automated and scalable solutions become crucial. In recent years, we have been developing AiiDA (http://www.aiida.net), a robust open-source high-throughput infrastructure addressing the challenges arising from the needs of automated workflow management and data provenance recording. Here, we introduce developments and capabilities required to reach sustained performance, with AiiDA supporting throughputs of tens of thousands processes/hour, while automatically preserving and storing the full data provenance in a relational database making it queryable and traversable, thus enabling high-performance data analytics. AiiDA's workflow language provides advanced automation, error handling features and a flexible plugin model to allow interfacing with any simulation software. The associated plugin registry enables seamless sharing of extensions, empowering a vibrant user community dedicated to making simulations more robust, user-friendly and reproducible. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2003.12476v1-abstract-full').style.display = 'none'; document.getElementById('2003.12476v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 24 March, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Scientific Data 7, 300 (2020) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1112.2610">arXiv:1112.2610</a> <span> [<a href="https://arxiv.org/pdf/1112.2610">pdf</a>, <a href="https://arxiv.org/format/1112.2610">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Databases">cs.DB</span> </div> </div> <p class="title is-5 mathjax"> The ViP2P Platform: XML Views in P2P </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Karanasos%2C+K">Konstantinos Karanasos</a>, <a href="/search/cs?searchtype=author&query=Katsifodimos%2C+A">Asterios Katsifodimos</a>, <a href="/search/cs?searchtype=author&query=Manolescu%2C+I">Ioana Manolescu</a>, <a href="/search/cs?searchtype=author&query=Zoupanos%2C+S">Spyros Zoupanos</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1112.2610v1-abstract-short" style="display: inline;"> The growing volumes of XML data sources on the Web or produced by enterprises, organizations etc. raise many performance challenges for data management applications. In this work, we are concerned with the distributed, peer-to-peer management of large corpora of XML documents, based on distributed hash table (or DHT, in short) overlay networks. We present ViP2P (standing for Views in Peer-to-Peer)… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1112.2610v1-abstract-full').style.display = 'inline'; document.getElementById('1112.2610v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1112.2610v1-abstract-full" style="display: none;"> The growing volumes of XML data sources on the Web or produced by enterprises, organizations etc. raise many performance challenges for data management applications. In this work, we are concerned with the distributed, peer-to-peer management of large corpora of XML documents, based on distributed hash table (or DHT, in short) overlay networks. We present ViP2P (standing for Views in Peer-to-Peer), a distributed platform for sharing XML documents based on a structured P2P network infrastructure (DHT). At the core of ViP2P stand distributed materialized XML views, defined by arbitrary XML queries, filled in with data published anywhere in the network, and exploited to efficiently answer queries issued by any network peer. ViP2P allows user queries to be evaluated over XML documents published by peers in two modes. First, a long-running subscription mode, when a query can be registered in the system and receive answers incrementally when and if published data matches the query. Second, queries can also be asked in an ad-hoc, snapshot mode, where results are required immediately and must be computed based on the results of other long-running, subscription queries. ViP2P innovates over other similar DHT-based XML sharing platforms by using a very expressive structured XML query language. This expressivity leads to a very flexible distribution of XML content in the ViP2P network, and to efficient snapshot query execution. ViP2P has been tested in real deployments of hundreds of computers. We present the platform architecture, its internal algorithms, and demonstrate its efficiency and scalability through a set of experiments. Our experimental results outgrow by orders of magnitude similar competitor systems in terms of data volumes, network size and data dissemination throughput. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1112.2610v1-abstract-full').style.display = 'none'; document.getElementById('1112.2610v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 December, 2011; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2011. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">RR-7812 (2011)</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1001.4880">arXiv:1001.4880</a> <span> [<a href="https://arxiv.org/pdf/1001.4880">pdf</a>, <a href="https://arxiv.org/format/1001.4880">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Databases">cs.DB</span> </div> </div> <p class="title is-5 mathjax"> The WebContent XML Store </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Nguyen%2C+B">Benjamin Nguyen</a>, <a href="/search/cs?searchtype=author&query=Zoupanos%2C+S">Spyros Zoupanos</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1001.4880v1-abstract-short" style="display: inline;"> In this article, we describe the XML storage system used in the WebContent project. We begin by advocating the use of an XML database in order to store WebContent documents, and we present two different ways of storing and querying these documents : the use of a centralized XML database and the use of a P2P XML database. </span> <span class="abstract-full has-text-grey-dark mathjax" id="1001.4880v1-abstract-full" style="display: none;"> In this article, we describe the XML storage system used in the WebContent project. We begin by advocating the use of an XML database in order to store WebContent documents, and we present two different ways of storing and querying these documents : the use of a centralized XML database and the use of a P2P XML database. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1001.4880v1-abstract-full').style.display = 'none'; document.getElementById('1001.4880v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 January, 2010; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2010. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Must be compiled with pdflatex</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> H.3.2; H.3.3 </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> RFIA 2010 Workshop "Sources Ouvertes et Services" </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a> </span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary"> <!-- MetaColumn 1 --> <div class="column"> <div class="columns"> <div class="column"> <ul class="nav-spaced"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul class="nav-spaced"> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>contact arXiv</title><desc>Click here to contact arXiv</desc><path d="M502.3 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