Data Rich Architecture for Future Space Applications and Computing

Data Rich Architecture for Future Space Applications and 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 Data Rich Architecture for Future Space Applications and Computing Ayodele Periola, Akintunde Alonge, Kingsley Ogudo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-991764/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 Space applications play an important role in technological advancements. This is because satellites are useful in existing applications like earth observations and future computing (hosting space based data centres). In these applications, satellites increase the amount of space debris as they reach their end of life. Therefore, the reduction of space debris for hosting future space application is crucial. The discussion in this paper considers that increasing space debris limits the deployment of additional earth observation satellites and future space based data centres. This challenge is addressed in this paper that proposes the use of non–earth’s orbital locations for hosting earth observation satellites and siting space data centres in regions having low debris. In addition, the proposed solution aims to identify regions in space with low space debris for hosting space based data centres. The performance metric is the rate of space debris generation (RSDG). The proposed solutions presents a framework to enable the acquisition and aggregation of data for RSDG computation in a given space region. Regions in non–earth orbital locations are utilized when the RSDG in a given earth’s orbital location exceeds a pre–defined threshold. In addition, the RSDG is formulated via the adaptation of the Shannon relation utilized to formulate the channel capacity in wireless communications. The result of evaluation shows that the RDSG is reduced by 50% on average due to the use of the proposed mechanism. Theoretical Computer Science Systems and Networking Data Processing Cloud Platforms Intelligent-Systems Satellites Wireless Computing Full Text 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. 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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-991764","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":57423466,"identity":"56061996-b250-46d8-b36a-cfb59ed5f421","order_by":0,"name":"Ayodele Periola","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0ElEQVRIiWNgGAWjYJCCAwwFDHIGYKaBBbFaDBiMDRiYQVokiLXHgCFxA1gLAxFazNl7Hx74YGCXvp29/+iGHwUSDPzt3Ql4tVj2HDc4OMMgOXdnz2G2mz1Ah0mcObsBv5NupDEc5jFgzt1wI5ntBg9Qi4FELgEt95+BtNSnGwC13PxDlJYbbCAthxNAWm4TZYtlTxoD0C/HDTecOWx2W8ZAgoegX8zZjzF/+FBRLW9wvPHZzTd/bOT423sJOAxdgAevcqxaRsEoGAWjYBRgAAB0GEXlm05r0wAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-1506-5347","institution":"Bells University of Technology","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Ayodele","middleName":"","lastName":"Periola","suffix":""},{"id":57423467,"identity":"6233c797-a758-4a45-bdda-80482ec4d5d9","order_by":1,"name":"Akintunde Alonge","email":"","orcid":"","institution":"University of Johannesburg","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Akintunde","middleName":"","lastName":"Alonge","suffix":""},{"id":57423468,"identity":"c386129d-d325-40b2-b2c2-8346ba6e5fb6","order_by":2,"name":"Kingsley Ogudo","email":"","orcid":"","institution":"University of Johannesburg","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Kingsley","middleName":"","lastName":"Ogudo","suffix":""}],"badges":[],"createdAt":"2021-10-18 17:39:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-991764/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-991764/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":14727322,"identity":"726a573e-c1c2-4ea3-ab1d-adf944e53c84","added_by":"auto","created_at":"2021-10-20 17:44:44","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":546681,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptMS.pdf","url":"https://assets-eu.researchsquare.com/files/rs-991764/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"Data Rich Architecture for Future Space Applications and Computing","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-991764/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"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":false,"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":"Data Processing, Cloud Platforms, Intelligent-Systems, Satellites, Wireless Computing","lastPublishedDoi":"10.21203/rs.3.rs-991764/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-991764/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eSpace applications play an important role in technological advancements. 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