A Research on an Optimized Adaptive Dynamic Power Management
Low-power design for various applications has always been a challenge for system designers. Dynamic power management, by selectively shutting down idle components, is widely studied and considered to be effective in reducing power consumption. Management strategies based on online algorithm exhibit a feature of easy implementation and fast processing speed. However, merely based on the historical distribution of idle periods, these strategies will make inaccurate prediction if the real distribution of idle periods changes sharply. This paper presents an optimized adaptive dynamic power management for further power saving. We introduce a differential adjusting factor to optimize the exponential-average algorithm to rapidly and accurately adjust the predicted idle period to the real distribution. Experimenting results demonstrate that our policy of power management can reduce the power dissipation of processors in a larger scale and be utilized in diverse applications.
dynamic power management adaptive ezponential-average algorithm adjusting factor
Jie CHEN Deyuan GAO Qiaoshi ZHENG
Department of Computer Science and Engineering Northwestern Polytechnical University Xi’an, 710072, China
国际会议
北京
英文
2000-2003
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）