Dynamic power management for streaming data


This paper presents a method that uses data buffers to smoothen request variations and to create long idleness for power management. This method considers the power consumed by the buffers and assigns an energy penalty for buffer underflow. Our approach provides analytic formulas for calculating the optimal buffer sizes and the amount of data to store in… (More)
DOI: 10.1145/1013235.1013256

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@article{Pettis2004DynamicPM, title={Dynamic power management for streaming data}, author={Nathaniel Pettis and Le Cai and Yung-Hsiang Lu}, journal={Proceedings of the 2004 International Symposium on Low Power Electronics and Design (IEEE Cat. No.04TH8758)}, year={2004}, pages={62-65} }