Efficient Scheduling of Data Transfers in Multi-tiered Storage | Journal of Data Science and Intelligent Systems

<!DOCTYPE html> <html lang="en" xml:lang="en"> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title> Efficient Scheduling of Data Transfers in Multi-tiered Storage | Journal of Data Science and Intelligent Systems </title> <link rel="icon" href="https://ojs.bonviewpress.com/public/journals/7/favicon_en_US.png"> <meta name="generator" content="Open Journal Systems 3.4.0.7"> <meta name="gs_meta_revision" content="1.1"/> <meta name="citation_journal_title" content="Journal of Data Science and Intelligent Systems"/> <meta name="citation_journal_abbrev" content="JDSIS"/> <meta name="citation_issn" content="2972-3841"/> <meta name="citation_author" content="Nan Noon Noon"/> <meta name="citation_author_institution" content="School of Computing and Information Technology, University of Wollongong, Australia"/> <meta name="citation_author" content="Janusz Getta"/> <meta name="citation_author_institution" content="School of Computing and Information Technology, University of Wollongong, Australia"/> <meta name="citation_author" content="Tianbing Xia"/> <meta name="citation_author_institution" content="School of Computing and Information Technology, University of Wollongong, Australia"/> <meta name="citation_title" content="Efficient Scheduling of Data Transfers in Multi-tiered Storage"/> <meta name="citation_language" content="en"/> <meta name="citation_date" content="2024/05/13"/> <meta name="citation_volume" content="2"/> <meta name="citation_issue" content="4"/> <meta name="citation_firstpage" content="241"/> <meta name="citation_lastpage" content="254"/> <meta name="citation_doi" content="10.47852/bonviewJDSIS42022471"/> <meta name="citation_abstract_html_url" content="https://ojs.bonviewpress.com/index.php/jdsis/article/view/2471"/> <meta name="citation_abstract" xml:lang="en" content="Multi-tiered persistent storage systems integrate many types of persistent storage devices, such as different types of NVMes, SSDs, and HDDs. This integration provides a multi-level view of persistent storage, where each tier has a different data transmission speed and capacity. Data transfer processes operating on multi-tiered persistent storage allow for the parallelisation of data transfers among the partitions of data at the same or different tiers. This work considers the problem of efficient scheduling of parallel data transfers between the tiers of persistent storage. We consider a data processing model where several data transfer processes move or copy data from one tier to another through the buffers in transient memory. We propose a new model for data processing over multi-tiered persistent storage and new algorithms to minimise both the overall time spent on parallel data transfers and the idle time of data transfer processes. We also describe how the scheduling algorithms dynamically apply different procedures to assign data transfers to the processes. Finally, we present the outcomes from the experiments that confirm the correctness and efficiency of the scheduling algorithms. 聽 Received: 15聽January聽2024聽| Revised: 5 April 2024聽| Accepted: 6 May 2024 聽 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. 聽 Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study. 聽 Author Contribution Statement Nan Noon Noon: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Writing - original draft, Writing - review &amp; editing, Visualization, Project administration. Janusz Getta and Tianbing Xia: Conceptualization, Methodology, Formal analysis, Writing - original draft, Writing - review &amp; editing, Visualization, Supervision, Project administration."/> <meta name="citation_keywords" xml:lang="en" content="multi-tiered persistent storage"/> <meta name="citation_keywords" xml:lang="en" content="parallel data processing"/> <meta name="citation_keywords" xml:lang="en" content="data transfers"/> <meta name="citation_keywords" xml:lang="en" content="scheduling"/> <meta name="citation_keywords" xml:lang="en" content="resource management"/> <meta name="citation_keywords" xml:lang="en" content="parallel data distribution"/> <meta name="citation_keywords" xml:lang="en" content="data transfer processes"/> <meta name="citation_pdf_url" content="https://ojs.bonviewpress.com/index.php/jdsis/article/download/2471/929"/> <link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" /> <meta name="DC.Creator.PersonalName" content="Nan Noon Noon"/> <meta name="DC.Creator.PersonalName" content="Janusz Getta"/> <meta name="DC.Creator.PersonalName" content="Tianbing Xia"/> <meta name="DC.Date.created" scheme="ISO8601" content="2024-05-13"/> <meta name="DC.Date.dateSubmitted" scheme="ISO8601" content="2024-01-15"/> <meta name="DC.Date.issued" scheme="ISO8601" content="2024-10-25"/> <meta name="DC.Date.modified" scheme="ISO8601" content="2024-11-07"/> <meta name="DC.Description" xml:lang="en" content="Multi-tiered persistent storage systems integrate many types of persistent storage devices, such as different types of NVMes, SSDs, and HDDs. This integration provides a multi-level view of persistent storage, where each tier has a different data transmission speed and capacity. Data transfer processes operating on multi-tiered persistent storage allow for the parallelisation of data transfers among the partitions of data at the same or different tiers. This work considers the problem of efficient scheduling of parallel data transfers between the tiers of persistent storage. We consider a data processing model where several data transfer processes move or copy data from one tier to another through the buffers in transient memory. We propose a new model for data processing over multi-tiered persistent storage and new algorithms to minimise both the overall time spent on parallel data transfers and the idle time of data transfer processes. We also describe how the scheduling algorithms dynamically apply different procedures to assign data transfers to the processes. Finally, we present the outcomes from the experiments that confirm the correctness and efficiency of the scheduling algorithms. 聽 Received: 15聽January聽2024聽| Revised: 5 April 2024聽| Accepted: 6 May 2024 聽 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. 聽 Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study. 聽 Author Contribution Statement Nan Noon Noon: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Writing - original draft, Writing - review &amp; editing, Visualization, Project administration. Janusz Getta and Tianbing Xia: Conceptualization, Methodology, Formal analysis, Writing - original draft, Writing - review &amp; editing, Visualization, Supervision, Project administration."/> <meta name="DC.Format" scheme="IMT" content="application/pdf"/> <meta name="DC.Identifier" content="2471"/> <meta name="DC.Identifier.pageNumber" content="241-254"/> <meta name="DC.Identifier.DOI" content="10.47852/bonviewJDSIS42022471"/> <meta name="DC.Identifier.URI" content="https://ojs.bonviewpress.com/index.php/jdsis/article/view/2471"/> <meta name="DC.Language" scheme="ISO639-1" content="en"/> <meta name="DC.Rights" content="Copyright (c) 2024 Authors"/> <meta name="DC.Rights" content="https://creativecommons.org/licenses/by/4.0/"/> <meta name="DC.Source" content="Journal of Data Science and Intelligent Systems"/> <meta name="DC.Source.ISSN" content="2972-3841"/> <meta name="DC.Source.Issue" content="4"/> <meta name="DC.Source.Volume" content="2"/> <meta name="DC.Source.URI" 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href="https://ojs.bonviewpress.com/index.php/jdsis/index"> Home </a> <span class="separator">/</span> </li> <li> <a href="https://ojs.bonviewpress.com/index.php/jdsis/issue/archive"> Archives </a> <span class="separator">/</span> </li> <li> <a href="https://ojs.bonviewpress.com/index.php/jdsis/issue/view/94"> Vol. 2 No. 4 (2024) </a> <span class="separator">/</span> </li> <li class="current" aria-current="page"> <span aria-current="page"> Research Articles </span> </li> </ol> </nav> <article class="obj_article_details"> <h1 class="page_title"> Efficient Scheduling of Data Transfers in Multi-tiered Storage </h1> <div class="row"> <div class="main_entry"> <section class="item authors"> <h2 class="pkp_screen_reader">Authors</h2> <ul class="authors"> <li> <span class="name"> Nan Noon Noon </span> <span class="affiliation"> School of Computing and Information Technology, University of Wollongong, Australia </span> <span class="orcid"> <svg class="orcid_icon" viewBox="0 0 256 256" aria-hidden="true"> <style type="text/css"> .st0{fill:#A6CE39;} .st1{fill:#FFFFFF;} </style> <path class="st0" d="M256,128c0,70.7-57.3,128-128,128C57.3,256,0,198.7,0,128C0,57.3,57.3,0,128,0C198.7,0,256,57.3,256,128z"/> <g> <path class="st1" d="M86.3,186.2H70.9V79.1h15.4v48.4V186.2z"/> <path class="st1" d="M108.9,79.1h41.6c39.6,0,57,28.3,57,53.6c0,27.5-21.5,53.6-56.8,53.6h-41.8V79.1z M124.3,172.4h24.5 c34.9,0,42.9-26.5,42.9-39.7c0-21.5-13.7-39.7-43.7-39.7h-23.7V172.4z"/> <path class="st1" d="M88.7,56.8c0,5.5-4.5,10.1-10.1,10.1c-5.6,0-10.1-4.6-10.1-10.1c0-5.6,4.5-10.1,10.1-10.1 C84.2,46.7,88.7,51.3,88.7,56.8z"/> </g> </svg> <a href="https://orcid.org/0000-0003-3985-5455" target="_blank"> https://orcid.org/0000-0003-3985-5455 </a> </span> </li> <li> <span class="name"> Janusz Getta </span> <span class="affiliation"> School of Computing and Information Technology, University of Wollongong, Australia </span> </li> <li> <span class="name"> Tianbing Xia </span> <span class="affiliation"> School of Computing and Information Technology, University of Wollongong, Australia </span> </li> </ul> </section> <section class="item doi"> <h2 class="label"> DOI: </h2> <span class="value"> <a href="https://doi.org/10.47852/bonviewJDSIS42022471"> https://doi.org/10.47852/bonviewJDSIS42022471 </a> </span> </section> <section class="item keywords"> <h2 class="label"> Keywords: </h2> <span class="value"> multi-tiered persistent storage, parallel data processing, data transfers, scheduling, resource management, parallel data distribution, data transfer processes </span> </section> <section class="item abstract"> <h2 class="label">Abstract</h2> <p>Multi-tiered persistent storage systems integrate many types of persistent storage devices, such as different types of NVMes, SSDs, and HDDs. This integration provides a multi-level view of persistent storage, where each tier has a different data transmission speed and capacity. Data transfer processes operating on multi-tiered persistent storage allow for the parallelisation of data transfers among the partitions of data at the same or different tiers. This work considers the problem of efficient scheduling of parallel data transfers between the tiers of persistent storage. We consider a data processing model where several data transfer processes move or copy data from one tier to another through the buffers in transient memory. We propose a new model for data processing over multi-tiered persistent storage and new algorithms to minimise both the overall time spent on parallel data transfers and the idle time of data transfer processes. We also describe how the scheduling algorithms dynamically apply different procedures to assign data transfers to the processes. Finally, we present the outcomes from the experiments that confirm the correctness and efficiency of the scheduling algorithms.</p> <p>聽</p> <p><strong>Received: </strong>15聽January聽2024聽<strong>| Revised: </strong>5 April 2024聽<strong>| Accepted:</strong> 6 May 2024</p> <p>聽</p> <p><strong>Conflicts of Interest</strong></p> <p>The authors declare that they have no conflicts of interest to this work.</p> <p>聽</p> <p><strong>Data Availability Statement</strong></p> <p>Data sharing is not applicable to this article as no new data were created or analyzed in this study.</p> <p>聽</p> <p><strong>Author Contribution Statement</strong></p> <p><strong>Nan Noon Noon: </strong>Conceptualization, Methodology, Validation, Formal analysis, Investigation, Writing - original draft, Writing - review & editing, Visualization, Project administration. <strong>Janusz Getta and Tianbing Xia: </strong>Conceptualization, Methodology, Formal analysis, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.</p> </section> <br /><div class="separator"></div><div class="item abstract" id="trendmd-suggestions"></div><script defer src='//js.trendmd.com/trendmd.min.js' data-trendmdconfig='{"website_id":"89269", "element":"#trendmd-suggestions"}'></script> </div> <div class="entry_details"> <div class="item cover_image"> <div class="sub_item"> <a href="https://ojs.bonviewpress.com/index.php/jdsis/issue/view/94"> <img src="https://ojs.bonviewpress.com/public/journals/7/cover_issue_94_en_US.png" alt=""> </a> </div> </div> <div class="item galleys"> <h2 class="pkp_screen_reader"> Downloads </h2> <ul class="value galleys_links"> <li> <a class="obj_galley_link pdf" href="https://ojs.bonviewpress.com/index.php/jdsis/article/view/2471/929"> PDF </a> </li> </ul> </div> <div class="item published"> <section class="sub_item"> <h2 class="label"> Published </h2> <div class="value"> <span>2024-05-13</span> </div> </section> </div> <div class="item issue"> <section class="sub_item"> <h2 class="label"> Issue </h2> <div class="value"> <a class="title" href="https://ojs.bonviewpress.com/index.php/jdsis/issue/view/94"> Vol. 2 No. 4 (2024) </a> </div> </section> <section class="sub_item"> <h2 class="label"> Section </h2> <div class="value"> Research Articles </div> </section> </div> <div class="item copyright"> <h2 class="label"> License </h2> <p>Copyright (c) 2024 Authors</p> <a rel="license" href="https://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" src="//i.creativecommons.org/l/by/4.0/88x31.png" /></a><p>This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p> </div> <div class="item citation"> <section class="sub_item citation_display"> <h2 class="label"> How to Cite </h2> <div class="value"> <div id="citationOutput" role="region" aria-live="polite"> <div class="csl-bib-body"> <div class="csl-entry">Noon, N. 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Efficient Scheduling of Data Transfers in Multi-tiered Storage | Journal of Data Science and Intelligent Systems