A Novel Secure Management Framework for Next-Gen Cloud-Edge Systems

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Abstract The convergence of cloud computing and edge intelligence has given rise to a new era of distributed computing infrastructure[1] that aim to leverage the strengths of both paradigms. Cloud computing provides on-demand scalability, high computational power, and global accessibility. Edge computing, on the other hand, is positioned closer to the end-user or data source, minimizing latency and improving real-time responsiveness. By merging these two, organizations can build efficient, low-latency solutions that meet stringent performance[2] and reliability requirements. However, this convergence also introduces new challenges related to security, data integrity, and management. Despite the many advances in cryptographic protocols and distributed systems orchestration, ensuring robust security postures in hybrid cloud-edge environments remains a daunting task.
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A Novel Secure Management Framework for Next-Gen Cloud-Edge Systems | 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 Novel Secure Management Framework for Next-Gen Cloud-Edge Systems Aditya Ranganathan, Jane Smith, Alex Johnson, Purvi Joshi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6002880/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 The convergence of cloud computing and edge intelligence has given rise to a new era of distributed computing infrastructure[1] that aim to leverage the strengths of both paradigms. Cloud computing provides on-demand scalability, high computational power, and global accessibility. Edge computing, on the other hand, is positioned closer to the end-user or data source, minimizing latency and improving real-time responsiveness. By merging these two, organizations can build efficient, low-latency solutions that meet stringent performance[2] and reliability requirements. However, this convergence also introduces new challenges related to security, data integrity, and management. Despite the many advances in cryptographic protocols and distributed systems orchestration, ensuring robust security postures in hybrid cloud-edge environments remains a daunting task. Theoretical Computer Science encryption edge computing performance key management 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. 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