Publication

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.