Using probabilistic model checking for dynamic power management

Norman, G. , Parker, D., Kwiatkowska, M., Shukla, S. and Gupta, R. (2005) Using probabilistic model checking for dynamic power management. Formal Aspects of Computing, 17(2), pp. 160-176. (doi:10.1007/s00165-005-0062-0)

Full text not currently available from Enlighten.

Publisher's URL: http://www.springer.com/

Abstract

Dynamic power management (DPM) refers to the use of runtime strategies in order to achieve a tradeoff between the performance and power consumption of a system and its components. We present an approach to analysing stochastic DPM strategies using probabilistic model checking as the formal framework. This is a novel application of probabilistic model checking to the area of system design. This approach allows us to obtain performance measures of strategies by automated analytical means without expensive simulations. Moreover, one can formally establish various probabilistically quantified properties pertaining to buffer sizes, delays, energy usage etc., for each derived strategy

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Norman, Dr Gethin
Authors: Norman, G., Parker, D., Kwiatkowska, M., Shukla, S., and Gupta, R.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Formal Aspects of Computing
Publisher:Springer London
ISSN:0934-5043
ISSN (Online):1433-299X

University Staff: Request a correction | Enlighten Editors: Update this record