Evaluation of CPU Power Control and Scheduling Technique on Parallel Computing Environment

H. Sato and A. Ozaki (Japan)


Power Aware Systems, Cluster Computing, Task Scheduling, Real-Time Scheduling, Load Balancing


Large-scale parallel and distributed computing environments have several problems concerning power consumption, thermal ascent, and setting space. In particular, power consumption and thermal ascent are the two serious problems that have to be taken care of when a system is used for a long time. We had proposed a CPU power control and scheduling technique (PCST) for real time parallel and distributed computing systems in order to solve the abovementioned problems; in these systems, the processors can change the frequencies and voltages. In this study, we evaluate the PCST by using the tracking program. The evaluation results show that when the PCST is employed, the power consumption is 60%–80% when compared to that of the commercial power control; moreover, when compared to that of the no power control, the power consumption is only 20%–40%.

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