Title :
Bayesian statistical approach to design the optimal auto-sleep function in a computer system
Author :
Okarnura, H. ; Sugihara, T. ; Dohi, T. ; Osaki, S.
Author_Institution :
Graduate Sch. of Eng., Hiroshima Univ., Japan
Abstract :
In this paper, we consider the problem to determine the optimal shutdown strategy for reduction of electrical power consumption in a computer system. Under the situation where the system receives requests of access in accordance with the Poisson process having the unknown intensity parameter, we prove analytically that the switching strategy is optimal in terms of the power-saving performance.
Keywords :
Bayes methods; Poisson distribution; power consumption; power supplies to apparatus; power system control; switching transients; Bayesian statistics; Poisson process; computer system; dynamic power management; electrical power consumption; optimal auto-sleep function; optimal shutdown; power-saving performance; switching strategy; Automatic control; Bayesian methods; Computer displays; Control systems; Design methodology; Energy consumption; Energy management; Operating systems; Power engineering and energy; Power system management;
Conference_Titel :
Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on
Print_ISBN :
0-7803-8346-X
DOI :
10.1109/MWSCAS.2004.1354155
