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DAC
2000
ACM

Dynamic power management of complex systems using generalized stochastic Petri nets

13 years 3 months ago
Dynamic power management of complex systems using generalized stochastic Petri nets
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurrency, synchronization, mutual exclusion and conflict. We model a power-managed distributed computing system as a controllable Generalized Stochastic Petri Net (GSPN) with cost. The obtained GSPN model is automatically converted to an isomorphic continuous-time Markov decision process. Given the delay constraints, the optimal power management policy for system components as well as the optimal dispatch policy for requests are calculated by solving a linear programming problem on the Markov decision process. Experimental results show that the proposed technique can achieve more than 20% power saving compared to other existing DPM techniques.
Qinru Qiu, Qing Wu, Massoud Pedram
Added 13 Nov 2009
Updated 13 Nov 2009
Type Conference
Year 2000
Where DAC
Authors Qinru Qiu, Qing Wu, Massoud Pedram
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