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
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;
Conference_Titel :
VLSI, 1999. Proceedings. Ninth Great Lakes Symposium on
Conference_Location :
Ypsilanti, MI
Print_ISBN :
0-7695-0104-4
DOI :
10.1109/GLSV.1999.757375
