Genetic Algorithm Based Idle Length Prediction Scheme for Dynamic Power Management

Abstract

Reducing energy consumption has become one of the most important challenges in designing computing systems. Dynamic power management policies exploit components' idle periods to save energy. If one idle period of some component is long enough, the component can be put into low power state during this period in order to reduce energy consumption. Many… (More)

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Cite this paper

@article{Kong2006GeneticAB, title={Genetic Algorithm Based Idle Length Prediction Scheme for Dynamic Power Management}, author={Fei Kong and Pin Tao and Shi Qiang Yang and Xiao Li Zhao}, journal={The Proceedings of the Multiconference on "Computational Engineering in Systems Applications"}, year={2006}, volume={2}, pages={1437-1443} }