Title :
Dynamic power management for streaming data
Author :
Pettis, Nathaniel ; Cai, Le ; Lu, Yung-Hsiang
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
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 the buffers. We use video prefetching as a case study and obtain power savings of more than 74% for MPEG-1 and 34% for MPEG-2 videos.
Keywords :
buffer storage; processor scheduling; video servers; MPEG-1 video; MPEG-2 video; buffer underflow; data buffers; dynamic power management; energy penalty; long idleness; optimal buffer size; performance attributes; quality of service; request variations; streaming data; streaming video; video prefetching; Buffer storage; Data engineering; Energy management; Engineering management; Hard disks; Permission; Power engineering and energy; Power engineering computing; Power system modeling; Prefetching;
Conference_Titel :
Low Power Electronics and Design, 2004. ISLPED '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
1-58113-929-2
DOI :
10.1109/LPE.2004.1349309
