Journal
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Volume 26, Issue 9, Pages 2400-2409Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TPDS.2014.2353051
Keywords
Internet data center; power control; thermal; task assignment
Funding
- Program for NSFC [61303013]
- STCSM projects [14510722600, 12ZR1445700]
- NRF Singapore under its CREATE program
- MOE [313035]
- RFDP of MOE [20120073120039]
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The past decade witnessed the tremendous growth of online services and applications. Together with the increase of cloud computing, more and more computation are hosted by Internet data centers (IDCs). Today's IDCs are achieving significant advances in communication and computation capabilities. However, along with the increasing demand from IDC clients, power consumption for powering up and cooling these IDCs has been skyrocketing. Most existing works optimize the power consumption of either servers or Computer Room Air Conditioners (CRACs), and overlook the correlation between the power consumption of these two types of equipment. In this paper, we propose an adaptive power control method which leverages the correlation between the power consumption of servers and CRACs. To capture the workload uncertainties and thermal dynamics, we exploit Recursive-Least Square based Model Predictive Control (MPC) to solve the power control problem. Performance evaluations shows the effective power peak reduction using our approach.
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