Toward an Intelligent Cache Management: In an Edge Computing Era for Delay Sensitive IoT Applications

Toward an Intelligent Cache Management: In an Edge Computing Era for Delay Sensitive IoT Applications | 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 Toward an Intelligent Cache Management: In an Edge Computing Era for Delay Sensitive IoT Applications V Meena, Kannan Krithivasan, Punna Rahul, suriya praba T This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1308887/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 25 Apr, 2023 Read the published version in Wireless Personal Communications → Version 1 posted 5 You are reading this latest preprint version Abstract The emergence of embedded technologies and Internet of Things (IoT), have perceived the proliferation of devices starting from tiny monitoring sensors, mobile devices, wearable devices, surveillance sensors etc. For the past few decades technological advancements in these devices leverages applications from home automation to health care industries. Due to this drastic growth in technology and newly emerging applications the number of IoT connected devices are expected to reach 42.62 billion with global mobile data traffic of 77.5 exabytes/month by 2022. So, offering required services with sufficient QoS parameters as per SLA is a challenging task. Also, the growing rate of wireless traffic exerts load to the core network and backhaul connections. Even the situations may get still worse with multimedia streaming applications. To mitigate the wireless traffic, Fog Caching (FC) is one of the promising solutions. In FC the popular contents in the mobile core network are cached in suitable places. However, identifying popular contents, locating cache, and replacing contents of cache are noticeable issues in FC. In this paper we propose an Intelligent framework(I-CADET) for efficient CAche management for Delay sensitive IoT applications in the Edge CompuTing era. To locate the cache in mobile core network Connected Dominating Set (CDS) construction of graph theory is used. The content popularity is predicted by efficient ML technique. Then the identified popular contents are distributed over a constructed semigraph based connected edge dominating virtual backbone. The efficient distribution of popular content on the constructed semigraph based virtual backbone (hot spot places) increases the Quality of Experience (QOE). The numerical results reveal that the proposed framework improves the QoE in terms of content delivery and cache hit rate, minimized average downloading latency and backhaul load. The efficient usage of cache and bandwidth has been ensured while meeting high QoS. Fog Computing (FC) Cache management delay sensitive applications Connected Dominating Set semigraph Machine learning. Full Text Cite Share Download PDF Status: Published Journal Publication published 25 Apr, 2023 Read the published version in Wireless Personal Communications → Version 1 posted Editorial decision: Minor revisions 10 Oct, 2022 Reviews received at journal 14 Feb, 2022 Reviewers invited by journal 10 Feb, 2022 Editor assigned by journal 02 Feb, 2022 First submitted to journal 28 Jan, 2022 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-1308887","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":82877250,"identity":"ac64e83c-474e-4b0a-9a50-a5432124c068","order_by":0,"name":"V Meena","email":"","orcid":"","institution":"SASTRA Deemed University: Shanmugha Arts Science Technology and Research Academy","correspondingAuthor":false,"prefix":"","firstName":"V","middleName":"","lastName":"Meena","suffix":""},{"id":82877251,"identity":"3218699e-dd98-456a-8f5b-b15b725f05c8","order_by":1,"name":"Kannan Krithivasan","email":"","orcid":"","institution":"SASTRA Deemed 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To locate the cache in mobile core network Connected Dominating Set (CDS) construction of graph theory is used. The content popularity is predicted by efficient ML technique. Then the identified popular contents are distributed over a constructed semigraph based connected edge dominating virtual backbone. The efficient distribution of popular content on the constructed semigraph based virtual backbone (hot spot places) increases the Quality of Experience (QOE). The numerical results reveal that the proposed framework improves the QoE in terms of content delivery and cache hit rate, minimized average downloading latency and backhaul load. 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