Dynamic Resource Orchestration for Edge Computing in SDN Environments

Dynamic Resource Orchestration for Edge Computing in SDN Environments | 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 Dynamic Resource Orchestration for Edge Computing in SDN Environments John Kim, M. Gonzalez, P. Sharma, C. Yu, A. Hassan, L. Wei, Z. Jianping This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7323844/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Edge computing has emerged as a critical paradigm for supporting latency-sensitive applications in Software-Defined Networking (SDN) environments. This paper proposes a dynamic resource orchestration framework that optimizes task offloading and resource allocation at the edge using a distributed optimization approach. By integrating Lyapunov optimization with SDNs centralized control, our method minimizes latency and energy consumption while ensuring quality of service (QoS). We formulate the problem as a Mixed Integer Non-Linear Programming (MINLP) model and propose a heuristic-based relaxation to enhance scalability. Simulations on edge-cloud topologies demonstrate that our approach achieves lower latency and higher resource efficiency compared to centralized methods, validated through extensive performance evaluations. Theoretical Computer Science Computer Architecture and Engineering Edge Computing Software-Defined Networking Resource Orchestration Task Offloading Lyapunov Optimization Distributed Systems Quality of Service Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7323844","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":497493209,"identity":"ecb4e61d-ae3e-4463-bad2-dc3c20a99d8d","order_by":0,"name":"John Kim","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIiWNgGAWjYBACxgYeIHlAgoEfzLUBcRgYJIjSItnADGSkEaGFgYEHosrgALFamNt7jz1gOGMRbXz+/MHPBQk2+XwHmA/e5sHnsJ5z6QYMNyRyt91IZpaekZBmOfMAW7I1Xi0zcswkGD6AtDAzSPP+OGxgcIDHTJooLZv7DzP/5kkAaeH/RoQWoMM2MCSzSUO08LDh19Jzxkwi4YxE7owbyWbWPAlpBpKH2Ywt5+DRYtjeYybx4Vhdbn//wce3eRJsDPiONz+88QaflgYgkYAixIxHOQjIE5AfBaNgFIyCUcDAAAAMZksvfH0aDgAAAABJRU5ErkJggg==","orcid":"","institution":"Stanford University","correspondingAuthor":true,"prefix":"","firstName":"John","middleName":"","lastName":"Kim","suffix":""},{"id":497493210,"identity":"2d8226da-1711-4a86-95aa-4a61607abc9b","order_by":1,"name":"M. 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