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

fYear

2004

Firstpage

62

Lastpage

65

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Low Power Electronics and Design, 2004. ISLPED '04. Proceedings of the 2004 International Symposium on

Print_ISBN

1-58113-929-2

Type

conf

DOI

10.1109/LPE.2004.1349309

Filename

1349309