Carbon-Aware Cloud Architecture: Dynamic Multi-Cloud Scheduling for Sustainable Computing

Abstract

Carbon-conscious cloud computing is a revolutionary paradigm shift in enterprise infrastructure management that addresses the increasing environmental footprint of hyperscale data centers through context-aware workload orchestration. The outlined Carbon-Our Cloud Architecture (CACA) includes real-time carbon intensity information in multi-cloud scheduling decisions, trading off environmental sustainability with performance needs and cost-effectiveness. Deployment over Kubernetes clusters across multiple cloud providers proves that it is possible to integrate sustainability as a first-class design principle in cloud-native systems. Experimental assessment proves significant environmental savings through strategic workload deployment in areas with higher renewable penetration, while achieving carbon intensity savings while still meeting reasonable performance levels. The architecture uses a complex weighted optimization model that considers deployment areas on the basis of carbon footprints, latency needs, and instance costs to allow organizations to tailor optimization priorities based on business imperatives and sustainability goals. Experiments show that operational excellence and environmental optimization are not mutually exclusive with intelligent policy configuration and adaptive scheduling algorithms. The multi-objective optimization paradigm effectively balances trade-offs among carbon footprint minimization, application performance, and infrastructure expenses for various workload categories. Latency-intensive applications have higher scheduling constraints with stringent performance demands, whereas batch processing workloads provide high flexibility in terms of opportunistic carbon optimization. Weight adjustment under policy allows prioritization to be dynamically changed according to the availability of renewable energy, regulatory filing deadlines, and corporate-level sustainability report intervals. The design confirms that sustainable computing concepts may be carried out in production cloud environments without jeopardizing business dreams or carrier quality guarantees.