Fault Detection and Prediction in Models: Optimizing Resource Usage in Cloud Infrastructure

Fault Detection and Prediction in Models: Optimizing Resource Usage in Cloud Infrastructure | 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 Fault Detection and Prediction in Models: Optimizing Resource Usage in Cloud Infrastructure Wei Wu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6059985/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 infrastructure management faces significant challenges in ensuring efficient resource usage while maintaining high availability. This paper presents a framework for Fault Detection and Prediction in Models, aiming to optimize resource allocation and minimize downtime by deploying proactive monitoring techniques. The framework leverages machine learning algorithms to analyze historical performance data, enabling the prediction of potential faults before they occur. This predictive capability initiates timely interventions that enhance operational reliability. Additionally, a feedback loop is integrated to continuously improve model performance based on real-time insights from cloud operations. Experiments across various cloud environments demonstrate substantial improvements in fault detection rates and resource utilization efficiency over traditional approaches, underscoring the value of predictive analytics for robust cloud infrastructure management. Computer Architecture and Engineering Fault Detection Cloud Infrastructure Full Text Additional Declarations The authors declare no competing interests. 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-6059985","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":417762208,"identity":"b4473118-66a1-4284-af4c-9334a55f2212","order_by":0,"name":"Wei Wu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAsElEQVRIiWNgGAWjYLCCBww2pGpJYEgjXcthElQb3MgxfJBQc15et/34w8cFDHZyug2EtRgbJBy7bbjtTEKy8QyGZGOzAwS0mN1OS5NIYLvNuO1AwjFpHoYDiduI0JL+I+HfOftt5x+2Easl+RhDYhtQ5Y1kNuK02N9/fFgisS85eduNZ8zGPAZE+EWy52Djhw/f7Gy3nU9/+Jinwk6OoBY0YECa8lEwCkbBKBgFOAAAa65FFiRbEvsAAAAASUVORK5CYII=","orcid":"","institution":"Amazon","correspondingAuthor":true,"prefix":"","firstName":"Wei","middleName":"","lastName":"Wu","suffix":""}],"badges":[],"createdAt":"2025-02-19 02:58:08","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6059985/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6059985/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":76723368,"identity":"a6c3166c-af7e-44bd-a664-74d90a944a00","added_by":"auto","created_at":"2025-02-20 05:05:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":659578,"visible":true,"origin":"","legend":"","description":"","filename":"FaultDetectionandPredictioninModelsOptimizingResourceUsageinCloudInfrastructureVersion21.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6059985/v1_covered_785795e1-fa52-47f0-a6d4-f49c8bf20411.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eFault Detection and Prediction in Models: Optimizing Resource Usage in Cloud Infrastructure\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"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":"Fault Detection, Cloud Infrastructure","lastPublishedDoi":"10.21203/rs.3.rs-6059985/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6059985/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCloud infrastructure management faces significant challenges in ensuring efficient resource usage while maintaining high availability. 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