Green-cloud scheduling: Minimizing Energy use in Multi-Cloud Operations within SLAs
DOI:
https://doi.org/10.15662/IJEETR.2025.0701004Keywords:
Green-Cloud Scheduling, Multi-Cloud Orchestration, Energy Efficiency, SLA Compliance, SLA ComplianceCarbon-Aware Computing, OptimizationAbstract
The rapid expansion of multi-cloud infrastructures amplifies energy consumption and carbon footprint, challenging telecom operators to balance performance, cost, and sustainability. This paper introduces EcoSched, a green-cloud scheduler that dynamically places and migrates workloads across on-premises clusters and public clouds (Azure, AWS) to minimize total energy use while satisfying latency and availability SLAs. EcoSched combines workload forecasting, carbon-intensity APIs, and a multi-objective optimization engine. In a 30-day experiment with video-processing and signaling services under bursty loads, EcoSched reduced energy consumption by 24 % and carbon emissions by 18 % compared to baseline round-robin scheduling, with SLA violation rate under 1 %. We detail system design, prediction models, scheduler algorithm, architecture, quantitative evaluation, and discuss deployment considerations
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