WoS-CoMS : Work Stealing-based Congestion Management Scheme for SDN programmable networks

WoS-CoMS : Work Stealing-based Congestion Management Scheme for SDN programmable networks | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article WoS-CoMS : Work Stealing-based Congestion Management Scheme for SDN programmable networks Yannick Florian Yankam, Vianney Kengne Tchendji, Jean Frédéric Myoupo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3213604/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 13 Jan, 2024 Read the published version in Journal of Network and Systems Management → Version 1 posted 7 You are reading this latest preprint version Abstract In recent years, the SDN (Software-Defined Networking) paradigm emerged as an easy way to manage large-scale network infrastructures through programmability brought out and its control plane/data plane decoupling logic. This enables infrastructure and service providers to have a global view of the network and track traffic flows from a remote controller. However, congestion control remains a concern due to the evolution of increasingly complex and resource-intensive user requirements (virtual reality, metaverse, Internet of Things (IoT), Artificial Intelligence (AI), Cloud, ...) on network infrastructures. This server state leads to high latency in request processing and data loss. This paper proposes in such controller-supervised environment, a congestion management scheme within network service servers to maintain acceptable quality of service. The strategy relies on work stealing to ensure better workload balancing. Simulations show that the proposed solution can reduce congestion load into the servers by up to 22%, depending on request grain size, within a shorter latency than other works in the literature. Moreover, the proposed solution allows stolen tasks to be completed within a shorter timeframe. Work stealing Congestion control SDN Task scheduling Quality of service Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 13 Jan, 2024 Read the published version in Journal of Network and Systems Management → Version 1 posted Editorial decision: Major revision 18 Sep, 2023 Reviews received at journal 08 Sep, 2023 Reviewers agreed at journal 02 Sep, 2023 Reviewers invited by journal 02 Sep, 2023 Editor assigned by journal 23 Aug, 2023 Submission checks completed at journal 28 Jul, 2023 First submitted to journal 28 Jul, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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