{"id":13,"date":"2023-03-30T17:10:56","date_gmt":"2023-03-30T15:10:56","guid":{"rendered":"https:\/\/events.dimes.unical.it\/mlsysops2023\/?page_id=13"},"modified":"2023-05-31T14:35:58","modified_gmt":"2023-05-31T12:35:58","slug":"call-for-papers","status":"publish","type":"page","link":"https:\/\/events.dimes.unical.it\/mlsysops2023\/call-for-papers\/","title":{"rendered":"Call For Papers"},"content":{"rendered":"<p>The 1st International Workshop on Machine Learning for Autonomic System Operations in the Device-Edge-Cloud Continuum (MLSYSOPS 2023)<\/p>\n<p>in conjunction with the International Conference on Embedded Wireless Systems and Networks (EWSN 2023) &#8211; Sept. 25-27, 2023, Rende, Italy<\/p>\n<p>&nbsp;<\/p>\n<p>CALL FOR PAPERS [<span style=\"color: #800080;\"><strong><a style=\"color: #800080;\" href=\"http:\/\/events.dimes.unical.it\/mlsysops2023\/wp-content\/uploads\/sites\/22\/2023\/05\/MLSysOps2023-Workshop-CFP_v2.pdf\">PDF version<\/a><\/strong><\/span>]<\/p>\n<p>To address the ever-increasing deluge of data collected and processed by computing systems, the trend of edge computing is establishing the effectiveness of processing data as close as possible to their source, often consisting of dense networks of wireless sensor nodes and IoT devices. It is predicted that by 2025 around 80% of enterprise data will be generated and processed outside the traditional cloud. In fact, edge computing is becoming even more attractive with the advent of energy-efficient micro-servers and powerful embedded devices with significant storage and processing capabilities. The advent of device-cloud-edge (D-E-C) computing aggravates the challenging task of managing heterogeneous and distributed resources, this time at an extreme scale, making human-in-the-loop management completely unrealistic. To achieve dynamic and flexible system and application management with minimal user involvement, the concept of autonomic computing systems was proposed as \u201ccomputing systems that can manage themselves given high-level objectives from administrators\u201d. However, the scale, heterogeneity, high dynamicity, and intrinsic local properties\/variability of the continuum yields rule-based approaches \u2013 traditionally used in autonomic systems \u2013 insufficient. Machine learning-\/AI-driven management is a promising alternative, but the quest to extend this to the full continuum faces several challenges such as scalability, heterogeneity, dynamics, trust &amp; security, and transparency. The goal of the workshop is therefore to bring together a community of researchers and practitioners who study problems at the intersection of AI\/ML, autonomic and cognitive computing, D-E-C continuum, distributed system operation, and resilient application deployment.<\/p>\n<p>&nbsp;<\/p>\n<p>TOPICS<\/p>\n<p>Workshop suggested topics include, but are not limited to empirical and theoretical studies of the following:<\/p>\n<ul>\n<li>Autonomic management and control of D-E-C continuum;<\/li>\n<li>ML\/AI-driven approaches for system operation of dynamic, large-scale, heterogeneous continuum systems;<\/li>\n<li>Agent-oriented architectures for D-E-C continuum orchestration;<\/li>\n<li>Cognitive computing models in the edge-cloud continuum;<\/li>\n<li>AI\/ML-based management of computing, networking and storage resources in the continuum;<\/li>\n<li>Green, resource-efficient techniques for system operation;<\/li>\n<li>AI\/ML-based trust and security methods in the edge-cloud continuum;<\/li>\n<li>Network and System Simulators for the D-E-C continuum;<\/li>\n<li>AI\/ML-based application deployment in continuum systems.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>IMPORTANT DATES<\/p>\n<p>Paper Submission Deadline:\u00a0 <del>31 May 2023<\/del> <span style=\"color: #ff0000;\">10 June 2023 (extended firm deadline) <\/span><\/p>\n<p>Paper Notification: 15 June 2023<br \/>\nCamera Ready Deadline:\u00a030 June 2023<br \/>\nWorkshop Date:\u00a025 September 2023<\/p>\n<p>&nbsp;<\/p>\n<p>SUBMISSION<\/p>\n<p>Paper Submission is managed through Easychair at:\u00a0<a href=\"https:\/\/easychair.org\/%20conferences\/?conf=ewsn2023\">easychair.org\/ conferences\/?conf=ewsn2023<\/a><br \/>\nin the MLSysOps 2023 Track.<\/p>\n<p>Workshop papers should not exceed 6 pages.<\/p>\n<p>Paper format template is available at <a href=\"https:\/\/events.dimes.unical.it\/ewsn2023\/call-for-paper\/submission\/\">ewsn2023.dimes.unical.it<\/a><\/p>\n<p>All accepted papers will be indexed in the ACM Digital Library, SCOPUS, and other prominent digital libraries.<\/p>\n<p>&nbsp;<\/p>\n<p>ORGANIZING COMMITTEE<\/p>\n<p><em>Workshop Chairs:<\/em><br \/>\n&#8211; Raffaele Gravina, University of Calabria, Italy &lt;r DOT gravina AT dimes DOT unical DOT it&gt;<br \/>\n&#8211; Spyros Lalis, University of Thessaly, Greece<br \/>\n&#8211; Dimitris Chatzopoulos, University College Dublin, Ireland<\/p>\n<p><em>Industry Chair:<\/em><br \/>\nMassimiliano Rossi, NTT Data, Italy<\/p>\n<p><em>Technical Program Committee:<\/em><br \/>\nChristos Antonopoulos, University of Thessaly, Greece<br \/>\nNikos Bellas, University of Thessaly, Greece<br \/>\nGiuseppe D\u2019Aniello, University of Salerno, Italy<br \/>\nWeilin Zang, Shenzhen Institutes of Advanced Technology, China<br \/>\nKaitai Liang, Technische Universiteit Delft, Netherlands<br \/>\nValeria Loscri, INRIA, France<br \/>\nCongcong Ma, Nanyang Institute of Technology, China<br \/>\nFrancesco Cauteruccio, Polytechnic University of Marche, Italy<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The 1st International Workshop on Machine Learning for Autonomic System Operations in the Device-Edge-Cloud Continuum (MLSYSOPS 2023) in conjunction with the International Conference on Embedded Wireless Systems and Networks (EWSN 2023) &#8211; Sept. 25-27, 2023, Rende, Italy &nbsp; CALL FOR &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-13","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/events.dimes.unical.it\/mlsysops2023\/wp-json\/wp\/v2\/pages\/13","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.dimes.unical.it\/mlsysops2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.dimes.unical.it\/mlsysops2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.dimes.unical.it\/mlsysops2023\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/events.dimes.unical.it\/mlsysops2023\/wp-json\/wp\/v2\/comments?post=13"}],"version-history":[{"count":8,"href":"https:\/\/events.dimes.unical.it\/mlsysops2023\/wp-json\/wp\/v2\/pages\/13\/revisions"}],"predecessor-version":[{"id":52,"href":"https:\/\/events.dimes.unical.it\/mlsysops2023\/wp-json\/wp\/v2\/pages\/13\/revisions\/52"}],"wp:attachment":[{"href":"https:\/\/events.dimes.unical.it\/mlsysops2023\/wp-json\/wp\/v2\/media?parent=13"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}