A Comprehensive Analysis of Load Balancing in Cloud Computing: Examining Methodologies and Research Practices for an Effective Hybrid Approach

A Comprehensive Analysis of Load Balancing in Cloud Computing: Examining Methodologies and Research Practices for an Effective Hybrid Approach | 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 Comprehensive Analysis of Load Balancing in Cloud Computing: Examining Methodologies and Research Practices for an Effective Hybrid Approach Muhammad Asim Shahid, Muhammad Mansoor Alam, Mazliham Mohd Su’ud This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6453751/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 Over the last several years, cloud computing (CC) has become a unique paradigm. Cloud computing aims to deliver computing and resources over the internet through the dynamic provision of services. Using cloud computing comes with a variety of challenges and obstacles. This study examines load balancing (LB), one of the primary issues of cloud computing. The goal of load balancing is to evenly distribute the computing power of cloud servers, preventing any host from experiencing overwork or underload. Numerous load-balancing algorithms have been implemented in the literature to provide efficient management, fulfill customer requirements for appropriate cloud nodes, enhance the overall effectiveness of cloud services, and improve end-user satisfaction. An effective load-balancing algorithm distributes the workload among system nodes to maximize efficiency and asset utilization. This research paper aims to critically analyze the latest load-balancing approaches. It will cover various load balancing attributes such as resource utilization, scalability, fault tolerance (FT), power savings, throughput performance, migration time, and reaction time. The study report also discusses load balancing issues in cloud computing environments and emphasizes the necessity for a unique technique that utilizes machine learning criteria for load balancing. It has been found that traditional load-balancing algorithms perform poorly and do not consider reliability. Hence, the research paper identifies the need for reliability in load-balancing algorithms, which is one of the main concerns in cloud environments. A new hybrid method is proposed, which utilizes reliability for load balancing. cloud computing load balancing machine learning reliability systematic literature review Full Text Additional Declarations No competing interests reported. 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. 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-6453751","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":456446403,"identity":"e3ac39f1-3914-43e8-9967-8c0b8b31deaf","order_by":0,"name":"Muhammad Asim Shahid","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7klEQVRIiWNgGAWjYFACxgYgcYDBgJnB8AFEJIF4LcYGRGoBA6AWBgYzCaK08Pcfbt3A8OeOvDk787aqmzmHGfjZcwyYbrbh1iJxI7HtBmPbM8OdzWxlt3O3HWaQ7HljwJyLRwsDUP0NxobDjBsO85iBtRjcyMGvRf78wbYbDH8O24O0FIO02BPSYnAA6DAGtsOJIC3MYFskCGgxBPklse1w8obDbMXSudvSeSTOPCs4nHMOtxa588ef3fjw57DthvOHN37O3WYtx9+evPFxThke74NAAhKbB0QcYGQjoAUL+EO6llEwCkbBKBi2AADFrVn3oyt5OgAAAABJRU5ErkJggg==","orcid":"","institution":"Multimedia University (MMU)","correspondingAuthor":true,"prefix":"","firstName":"Muhammad","middleName":"Asim","lastName":"Shahid","suffix":""},{"id":456446404,"identity":"72da4f41-8ec8-4aa8-ba73-326f2fa6563f","order_by":1,"name":"Muhammad Mansoor Alam","email":"","orcid":"","institution":"Riphah International University","correspondingAuthor":false,"prefix":"","firstName":"Muhammad","middleName":"Mansoor","lastName":"Alam","suffix":""},{"id":456446405,"identity":"86ffab47-1c31-42aa-af1b-ac40a13d0505","order_by":2,"name":"Mazliham Mohd Su’ud","email":"","orcid":"","institution":"Multimedia University (MMU)","correspondingAuthor":false,"prefix":"","firstName":"Mazliham","middleName":"Mohd","lastName":"Su’ud","suffix":""}],"badges":[],"createdAt":"2025-04-15 10:23:14","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6453751/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6453751/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":83796841,"identity":"db401957-4ed8-4edd-bd41-f64e08b13eb7","added_by":"auto","created_at":"2025-06-03 01:01:32","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1015304,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6453751/v1_covered_4d341ef4-fa4b-4f22-befe-ec96b78f55fd.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Comprehensive Analysis of Load Balancing in Cloud Computing: Examining Methodologies and Research Practices for an Effective Hybrid Approach","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"cloud computing, load balancing, machine learning, reliability, systematic literature review","lastPublishedDoi":"10.21203/rs.3.rs-6453751/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6453751/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eOver the last several years, cloud computing (CC) has become a unique paradigm. 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