Abstract
Recent advances such as high penetration of renewables, development of energy-efficient cooling facilities, and flexibility of distributed storage units, all call for a system-wide energy and workload management policy for future sustainable data centers. Leveraging stochastic optimization tools, a unified management approach is proposed allowing data centers to adaptively respond to renewable availability, cooling efficiency variation, workload shift, and energy price fluctuation under long-term quality-of-service (QoS) requirements. It is rigorously established that the proposed algorithm yields a feasible and near-optimal management strategy without knowing the distributions of random workload, renewable, and electricity price processes.
Published Version
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