Title :
Power Cost Reduction in Distributed Data Centers: A Two-Time-Scale Approach for Delay Tolerant Workloads
Author :
Yuan Yao ; Longbo Huang ; Sharma, Abhishek B. ; Golubchik, Leana ; Neely, Michael J.
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
Abstract :
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.
Keywords :
computer centres; power aware computing; scheduling; stochastic programming; delay tolerant workloads; geographically distributed data centers; job scheduling; power cost reduction; power scaling decisions; server activation decisions; server management; stochastic optimization approach; two time scale approach; Algorithm design and analysis; Delay; Distributed databases; Optimization; Routing; Servers; Vectors; Power management; data center; performance analysis; stochastic optimization;
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
DOI :
10.1109/TPDS.2012.341