{"paper_id":"2bd009ee-3f3b-4b37-97ea-41975583fc8f","body_text":"A multi-objective priority aware task scheduling in Fog–Cloud environment using improved meta-heuristic 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 A multi-objective priority aware task scheduling in Fog–Cloud environment using improved meta-heuristic algorithm syed Mujtiba Hussain, G. R. Begh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3901654/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 10 Dec, 2024 Read the published version in International Journal of System Assurance Engineering and Management → Version 1 posted 5 You are reading this latest preprint version Abstract Internet of Things (IoT) tasks have a variety of quality of service (QoS) needs, wherein the fog-cloud computing has emerged as a promising platform for handling the tasks. As a result of its proximity to IoT devices, the fog environment offers minimal latency, but it also faces resource limitations, which is not present in cloud environment. The key obstacle of the fog-cloud setting is effectively executing tasks delegated from IoT devices, by making use of the available resources in the fog-cloud infrastructure. Hence, this research introduces a novel task scheduling approach based on the improved meta-heuristic algorithm. An improved zebra algorithm (ImZP) is proposed for performing the priority aware task scheduling. The zebra algorithm is hybridized with the mutation operation of the differential evolution algorithm (DE) for enhancing the exploration criteria to accomplish the global best solution. Besides, the acquisition of non-dominant solutions while considering the multi-objective fitness function, pareto optimal front is considered. Here, the multi-objective function based on priority, cost and execution time are considered in scheduling the task optimally. The assessment of priority aware task scheduling based on priority, availability, makespan, energy consumption, cost and success rate acquired the values of 0.9787, 0.8236, 0.1049, 0.0244, 0.1095 and 0.8238 respectively. Priority aware task scheduling improved meta-heuristic algorithm pareto optimal front differential evolution fog broker multi –objective fitness resource management Full Text Cite Share Download PDF Status: Published Journal Publication published 10 Dec, 2024 Read the published version in International Journal of System Assurance Engineering and Management → Version 1 posted Editorial decision: Major revisions 08 May, 2024 Reviewers agreed at journal 07 Mar, 2024 Reviewers invited by journal 06 Mar, 2024 Editor invited by journal 29 Jan, 2024 First submitted to journal 28 Jan, 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. 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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-3901654\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":276882361,\"identity\":\"8e6ee831-0d89-4eab-92b9-8db3c2d8e81f\",\"order_by\":0,\"name\":\"syed Mujtiba Hussain\",\"email\":\"data:image/png;base64,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\",\"orcid\":\"https://orcid.org/0000-0002-6379-8852\",\"institution\":\"Islamic University of Technology\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"syed\",\"middleName\":\"Mujtiba\",\"lastName\":\"Hussain\",\"suffix\":\"\"},{\"id\":276882362,\"identity\":\"29607d91-a4c9-45f3-9ea5-22016d89a217\",\"order_by\":1,\"name\":\"G. 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