Microservice Deployment in Cloud-Edge Environment using Enhanced Global Search Grey Wolf Optimizer-Greedy Algorithm

Microservice Deployment in Cloud-Edge Environment using Enhanced Global Search Grey Wolf Optimizer-Greedy Algorithm | 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 Microservice Deployment in Cloud-Edge Environment using Enhanced Global Search Grey Wolf Optimizer-Greedy Algorithm Shudong Wang, Yanxiang Zhang, Xiao He, Nuanlai Wang, Zhi Lu, Baoyun Chen, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4724840/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract The rapid advancement of edge-cloud technologies has made service deployment increasingly crucial. Additionally, benefiting from the reusability of services, complex applications are subdivided into different microservices. Given the constraints of limited resources, heterogeneous servers, and the geographical diversity of users, how to reasonably deploy microservices becomes a significant challenge. In this paper, we propose a microservice deployment model aimed at minimizing users' latency and maximizing edge providers' profits. The model is divided into different scenarios, each with varying trends in user request categories. To seek microservice deployment strategies, we introduce an Enhanced Global Search Grey Wolf Optimizer-Greedy (EGSGWO-G) algorithm designed for microservice deployment-offloading frameworks. This algorithm leverages EGSGWO to search for deployment strategies and evaluates them using greedy service offloading algorithm. Finally, extensive experiments demonstrate that the EGSGWO-G algorithm improves convergence speed by 31.78%, reduces latency by 12.64%, and increases provider profits by 1.30% compared to GWO-G. Microservice deployment Edge computing Grey wolf optimizer Multiple scenarios Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 30 Sep, 2024 Reviews received at journal 15 Aug, 2024 Reviews received at journal 09 Aug, 2024 Reviewers agreed at journal 08 Aug, 2024 Reviewers agreed at journal 06 Aug, 2024 Reviewers agreed at journal 06 Aug, 2024 Reviewers invited by journal 06 Aug, 2024 Editor assigned by journal 15 Jul, 2024 Submission checks completed at journal 15 Jul, 2024 First submitted to journal 11 Jul, 2024 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-4724840","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":336726243,"identity":"56689058-7122-4e33-94d5-4e8b48caa66f","order_by":0,"name":"Shudong Wang","email":"","orcid":"","institution":"China University of Petroleum, East China","correspondingAuthor":false,"prefix":"","firstName":"Shudong","middleName":"","lastName":"Wang","suffix":""},{"id":336726244,"identity":"5b48695b-e5e1-42cf-b47b-e21839ed0e22","order_by":1,"name":"Yanxiang Zhang","email":"","orcid":"","institution":"China University of Petroleum, East 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