Data Centers Power Reduction: A Two Time Scale Approach for Delay Tolerant Workloads
Over the last few years, the demand for computing has grown significantly. This demand is being satisfied by very large scale, geographically distributed data centers, each containing a huge number of servers. In this paper, the authors focus on a stochastic optimization based approach to make distributed routing and server management decisions in the context of large-scale, geographically distributed data centers, which offers significant potential for exploring power cost reductions. Their approach considers such decisions at different time scales and offers provable power cost and delay characteristics. The utility of their approach and its robustness are also illustrated through simulation-based experiments under delay tolerant workloads.