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Power Cost Reduction in Distributed Data Centers: A Two-Time-Scale Approach for Delay Tolerant Workloads

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5 Author(s)
Yuan Yao ; Univ. of Southern California, Los Angeles, CA, USA ; Longbo Huang ; Sharma, A.B. ; Golubchik, L.
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This paper considers a stochastic optimization approach for job scheduling and server management in large-scale, geographically distributed data centers. Randomly arriving jobs are routed to a choice of servers. The number of active servers depends on server activation decisions that are updated at a slow time scale, and the service rates of the servers are controlled by power scaling decisions that are made at a faster time scale. We develop a two-time-scale decision strategy that offers provable power cost and delay guarantees. The performance and robustness of the approach is illustrated through simulations.

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Parallel and Distributed Systems, IEEE Transactions on  (Volume:25 ,  Issue: 1 )