Seminar Cloud Computing Cold Start Problem in Serverless Computing

Seminar Cloud Computing Cold Start Problem in Serverless Computing | 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Article Seminar Cloud Computing Cold Start Problem in Serverless Computing Dinçer Atasoy This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7032864/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 This study examines the ’cold start problem’ in serverless computing. Serverless computing is known for its ability to provide services on-demand and cost-effectively. However, it faces a challenge known as cold starts. This occurs when there is a delay in starting serverless functions after they have not been used for some time. This delay can affect the performance and user experience, especially in applications where time is critical. We look at different solutions offered by commercial platforms and academic research. A key focus is on the FaasCache method, which uses a caching technique to keep functions ready and reduce cold starts. We compare this with other methods like pre-warming functions, using different types of servers, and predicting usage patterns with AI. The paper also discusses new challenges, especially when using AI applications with serverless computing, which have their own issues with resource use and start-up times. Serverless Computing cold Start Problem faaS Optimization Techniques 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-7032864","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":479851388,"identity":"d884c378-a083-492d-ba1f-763368f45789","order_by":0,"name":"Dinçer Atasoy","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEElEQVRIiWNgGAWjYDCCwyi8CgmoCBsRWnjA5BkkLTy4tBxA1sLYBhPBo4XvOO/BDx/3MMjbsx9/+Jh3noVd33HeBwwfyg4z2EsfwKpF8jBfsuSMZwyGPTw5xsa82ySSZx5mN2Ccce4wAw9fAlYtBod5zJh5DjAw9jDksEmDtBgcZmNg5m0DasHhMrCWPwcY7Hv4nz+T5p0D1fKXkBagjxN7JBLMpHkbJOzAWhjxaJE8zGMs2XNAIrnnxhtjwznHJBIkgVoO9pxL5+E5gyPEzp8x/PDjgI1te3/6wwdvaurs+c4fY3zwo8xajr0HuxYokACTTECnJDYwQKIGZ0yiAMYfDAz2RKkcBaNgFIyCEQUAzxhUlcpKOmwAAAAASUVORK5CYII=","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Dinçer","middleName":"","lastName":"Atasoy","suffix":""}],"badges":[],"createdAt":"2025-07-02 23:23:06","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7032864/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7032864/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":108007060,"identity":"98b18f06-8f67-4e9d-a13d-1c62c05b07de","added_by":"auto","created_at":"2026-04-28 12:58:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":201089,"visible":true,"origin":"","legend":"","description":"","filename":"SeminarCloud.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7032864/v1_covered_e6801ec8-c8f9-4346-88e7-6bdd2a59f2ad.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Seminar Cloud Computing Cold Start Problem in Serverless Computing","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":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":"Serverless Computing, cold Start Problem, faaS Optimization Techniques","lastPublishedDoi":"10.21203/rs.3.rs-7032864/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7032864/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This study examines the ’cold start problem’ in serverless computing. Serverless computing is known for its ability to provide services on-demand and cost-effectively. However, it faces a challenge known as cold starts. This occurs when there is a delay in starting serverless functions after they have not been used for some time. This delay can affect the performance and user experience, especially in applications where time is critical. We look at different solutions offered by commercial platforms and academic research. A key focus is on the FaasCache method, which uses a caching technique to keep functions ready and reduce cold starts. We compare this with other methods like pre-warming functions, using different types of servers, and predicting usage patterns with AI. 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