Affiliation:
1. Michigan Technological University, USA
Abstract
Multi-core processing has been widely used in high-performance computing systems. Power reduction and energy conservation are important in these systems to minimize operating cost. Two main strategies exist for power management: Dynamic Voltage/Frequency Scaling (DV/FS) and server number controlling: Vary-On Vary-Off (VOVF). In this paper, the authors explore the benefits of DV/FS and VOVF and apply them in a multi-core based server cluster. An optimization problem is formulated to get the optimal resource scheduling strategy given a parallel workload. The presented optimization model provides controllable and quantitative power consumption with theoretically guaranteed service performance. The authors further study the overhead of the proposed scheme and provide a Double Control Periods (DCP) method to compensate the transition overhead. The power optimization model is evaluated via extensive simulations. It is also justified by the real workload data trace. The results prove the effectiveness and efficiency of the proposed model.
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