Efficient Unified Self-Service Sustainable Cloud Portal with Cloud Connectors for Multi-Platform Orchestration

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Abstract Many businesses today are adopting multi-cloud services to optimize performance , control cost and avoid Vendor lock-in. Managing multiple cloud platforms simultaneously creates significant challenges for organizations, often resulting in operational inefficiencies due to platform heterogeneity, fragmented security policies , and poor resource utilization that negatively impacts cost management and environmental sustainability. The proposed research introduces a unified self-service cloud portal with custom-built cloud connectors that enables seamless orchestration across major cloud service providers including AWS, Azure, and Google Cloud Platform. Implementing a modular architecture with standardized interfaces, automated resource management, and comprehensive security controls, reducing operational complexity by 40% while maintaining consistent governance across platforms. One key innovation is combining intelligent cross-platform resource optimization with a novel Green Score metric that integrates real-time utilization, energy efficiency, and application performance data—through integration with provider-specific sustainability tools and intelligent workload placement, achieving up to 45% reduction in carbon footprint for flexible workloads and 35% improvement in resource utilization. Optimizing cloud resources helps avoid unnecessary costs and efficiently provision resources 1 thus making the cloud systems greener. The proposed solution’s work advances multiple UN Sustainable Development Goals, particularly SDG 9 (Industry, Innovation, and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action), demonstrating that operational efficiency and environmental sustainability can be simultaneously achieved in multi-cloud environments.
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Efficient Unified Self-Service Sustainable Cloud Portal with Cloud Connectors for Multi-Platform Orchestration | 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 Efficient Unified Self-Service Sustainable Cloud Portal with Cloud Connectors for Multi-Platform Orchestration Beena B.M., Aryan Kothari, V. R.N.S Nikhil, Namana Rohit, Prashanth Cheluvasai Ranga CSR This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6218612/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 Many businesses today are adopting multi-cloud services to optimize performance , control cost and avoid Vendor lock-in. Managing multiple cloud platforms simultaneously creates significant challenges for organizations, often resulting in operational inefficiencies due to platform heterogeneity, fragmented security policies , and poor resource utilization that negatively impacts cost management and environmental sustainability. The proposed research introduces a unified self-service cloud portal with custom-built cloud connectors that enables seamless orchestration across major cloud service providers including AWS, Azure, and Google Cloud Platform. Implementing a modular architecture with standardized interfaces, automated resource management, and comprehensive security controls, reducing operational complexity by 40% while maintaining consistent governance across platforms. One key innovation is combining intelligent cross-platform resource optimization with a novel Green Score metric that integrates real-time utilization, energy efficiency, and application performance data—through integration with provider-specific sustainability tools and intelligent workload placement, achieving up to 45% reduction in carbon footprint for flexible workloads and 35% improvement in resource utilization. Optimizing cloud resources helps avoid unnecessary costs and efficiently provision resources 1 thus making the cloud systems greener. The proposed solution’s work advances multiple UN Sustainable Development Goals, particularly SDG 9 (Industry, Innovation, and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action), demonstrating that operational efficiency and environmental sustainability can be simultaneously achieved in multi-cloud environments. Cloud Computing Multi-Cloud Management Cloud Connectors Self-Service Portal Green Computing Orchestration Energy Effciency Resource optimization Green Score Metric Sustainable Cloud Cloud Automation 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. 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