Enhancing Cloud Performance through HLD_ASG by using a Two-Tier Load Balancing Strategy

Enhancing Cloud Performance through HLD_ASG by using a Two-Tier Load Balancing Strategy | 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 Enhancing Cloud Performance through HLD_ASG by using a Two-Tier Load Balancing Strategy Vishalika Vishalika, Saurabh Sharma This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7057456/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 Cloud computing has significantly reformed modern IT infrastructure by providing scalable access to computing resources over the Internet. Proper organization of job tasks and keeping loads even are vital for retaining fast performance, scalability and low power use in cloud computing. Traditional methods like FCFS, Round Robin and LD_ASG pay very little attention to the overall load of each host in favor of tracking VM statistics. Because of these issues, some jobs are performed less efficiently, take longer to complete and burn more energy. Since similar algorithms have certain shortcomings, this study introduces HLD_ASG as a Host-Level and VM-Level scheduler that improves task placement and utilization of computing resources. At the first step, the system calculates the heavy and light workloads of every host by looking at how much CPU and memory is used; at the second step, it compares all VMs running on the selected host and picks the one being used the least. Trying out HLD_ASG on CloudSim, we found that it can reduce the time it takes by 25%, increase throughput by 20% and consume 17% less power than LD_ASG. The outcomes demonstrate that HLD_ASG is an efficient and convenient choice for load balancing in fast-changing cloud environments. Cloud Computing Load Balancing Host-VM Scheduling Energy Efficiency Task Placement HLD_ASG 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-7057456","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":515173157,"identity":"52a96163-8feb-438d-b599-58e0ca82840f","order_by":0,"name":"Vishalika 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Strategy","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, Host-VM Scheduling, Energy Efficiency, Task Placement, HLD_ASG","lastPublishedDoi":"10.21203/rs.3.rs-7057456/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7057456/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCloud computing has significantly reformed modern IT infrastructure by providing scalable access to computing resources over the Internet. Proper organization of job tasks and keeping loads even are vital for retaining fast performance, scalability and low power use in cloud computing. Traditional methods like FCFS, Round Robin and LD_ASG pay very little attention to the overall load of each host in favor of tracking VM statistics. Because of these issues, some jobs are performed less efficiently, take longer to complete and burn more energy. Since similar algorithms have certain shortcomings, this study introduces HLD_ASG as a Host-Level and VM-Level scheduler that improves task placement and utilization of computing resources. At the first step, the system calculates the heavy and light workloads of every host by looking at how much CPU and memory is used; at the second step, it compares all VMs running on the selected host and picks the one being used the least. Trying out HLD_ASG on CloudSim, we found that it can reduce the time it takes by 25%, increase throughput by 20% and consume 17% less power than LD_ASG. The outcomes demonstrate that HLD_ASG is an efficient and convenient choice for load balancing in fast-changing cloud environments.\u003c/p\u003e","manuscriptTitle":"Enhancing Cloud Performance through HLD_ASG by using a Two-Tier Load Balancing Strategy","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-23 06:42:35","doi":"10.21203/rs.3.rs-7057456/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"413bb92e-2279-4c96-9dc6-8022e3b530c3","owner":[],"postedDate":"September 23rd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-11-21T06:53:27+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-23 06:42:35","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7057456","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7057456","identity":"rs-7057456","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}