No Access

DYNAMIC POWER MANAGEMENT IN AN EMBEDDED SYSTEM FOR MULTIPLE SERVICE REQUESTS

Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore 641 013, Tamil nadu, India

Search for more papers by this author

and

ELWIN CHANDRA MONIE

Thanthai Peryar Government Institute of Technology, Vellore, Tamil nadu, India

Search for more papers by this author

https://doi.org/10.1142/S0218126605002696Cited by:3 (Source: Crossref)

Abstract

Power is increasingly becoming a design constraint for embedded systems. Dynamic Power Management algorithms enable optimal utilization of hardware at runtime. The present work attempts to arrive at an optimal policy to reduce the energy consumption at system level, by selectively placing components into low power states. A new, simple algorithm for power management systems involving multiple requests and services, proposed here, has been obtained from stochastic queuing models. The proposed policy is event driven and based on a Deterministic Markov Nonstationary Policy model (DMNSP). The proposed policy has been tested using a Java-based event driven simulator. The test results show that there is about 23% minimum power saving over the existing schemes with less impact on performance or reliability.

Keywords:

References

L. Beniniet al., IEEE Trans. Computer-Aided Design 18, 813 (1999). Crossref, Web of Science, Google Scholar
L. Benini, R. Hodgson and P. Siegel, System-level power estimation and optimization, Int. Symp. Low Power Electronics and Design (1998) pp. 173–178. Google Scholar
E. Chung, L. Benini and G. De Micheli, IEEE Trans. Comput. 51, 1345 (2002). Crossref, Web of Science, Google Scholar
E. Chung, L. Benini and G. De Micheli, Dynamic power management using adaptive learning trees, Int. Conf. Computer-Aided Design (1999) pp. 274–279. Google Scholar
Y. Lu, T. Simuni'c and G. De Micheli, Software controlled power management, 7th Int. Workshop on Hardware/Software Codesign (1999) pp. 173–178. Google Scholar
Y. Luet al., Quantitative comparison of PM algorithms, Design, Automation and Test in Europe (2000) pp. 20–26. Google Scholar
Q. Qiu and M. Pedram, Dynamic power management based on continuous-time Markov decision processes, Design Automation Conf. (1999) pp. 555–561. Google Scholar
L. Benini, A. Bogliolo and G. De Micheli, IEEE Trans. VLSI 8, 299 (2000). Crossref, Web of Science, Google Scholar
S. Irani , S. Shukla and R. Gupta , Competitive analysis of dynamic power management strategies for systems with multiple power saving state , Proc. Design Automation and Test Conf. Europe (DATE02) ( 2002 ) . Google Scholar
S. Shukla and R. Gupta , A model checking approach to evaluating system level power management for embedded systems , Proc. IEEE Workshop on High Level Design Validation and Test (HLDVT01) ( 2001 ) . Google Scholar
T. Simunic, L. Benini and G. De Micheli, Power management of laptop hard disk, Design, Automation and Test in Europe (2000) p. 736. Google Scholar
R. W. Wolf , Stochastic Modeling and Theory of Queues ( Prentice Hall International , 1989 ) . Google Scholar
H. A. Taha , Operations Research an Introduction ( Prentice Hall of India , 2002 ) . Google Scholar
R. A. Johnson , Probability and Statistics for Engineers ( Prentice Hall of India , 2001 ) . Google Scholar
L. Benini and G. De Micheli , Dynamic Power Management Design Technique and CAD Tools ( Kluwer Academic Publishers , 1997 ) . Google Scholar