DocumentCode
336493
Title
Adaptive hard disk power management on personal computers
Author
Lu, Yung-Hsiang ; De Micheli, Giovanni
Author_Institution
Comput. Syst. Lab., Stanford Univ., CA, USA
fYear
1999
fDate
4-6 Mar 1999
Firstpage
50
Lastpage
53
Abstract
Dynamic power management can be effective for designing low-power systems. In many systems, requests are clustered into sessions. This paper proposes an adaptive algorithm that can predict session lengths and shut down components between sessions to save power. Compared to other approaches, simulations show that this algorithm can reduce power consumption in hard disks with less impact on performance or reliability
Keywords
adaptive systems; computer power supplies; hard discs; low-power electronics; adaptive disk power management; dynamic power management; hard disk; low-power systems; personal computers; power consumption; reliability; session lengths; Adaptive algorithm; Clustering algorithms; Energy consumption; Energy management; Hard disks; Laboratories; Microcomputers; Portable computers; Power system management; Spinning;
fLanguage
English
Publisher
ieee
Conference_Titel
VLSI, 1999. Proceedings. Ninth Great Lakes Symposium on
Conference_Location
Ypsilanti, MI
ISSN
1066-1395
Print_ISBN
0-7695-0104-4
Type
conf
DOI
10.1109/GLSV.1999.757375
Filename
757375
Link To Document