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Analytical leakage/temperature-aware power modeling and optimization for a variable speed real-time system

Mohaqeqi, M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1145/2392987.2392997
  3. Publisher: 2012
  4. Abstract:
  5. We consider a DVS-enabled single-processor firm real-time (FRT) system with Poisson arrival jobs having exponential execution times and generally distributed relative deadlines. The queue size of the system bounds the number of jobs which may be available therein. Further, the processor speed depends on the number of jobs in the system which varies because of the job arrivals, service completions, and dead-line misses. Thus, the processor power consumption, includling both the dynamic and leakage powers, depends on the stochastic nature of the system. More specifically, the instantaneous dynamic power consumption lonely depends on the number of jobs at that moment. However, the instantaneous leakage power consumption depends on both the number of jobs and the instantaneous processor temperature. In turn, the temperature is affected by both the dynamic and leakage power consumptions. Taking all the aforementioned inter-effects into account, this paper analytically models the timing, power and temperature behaviors of such a variable speed FRT system. The analysis is then employed to address the problem of the system average power (and thus, energy) minimization subject to guaranteeing some upper bound 011 the system loss probability. Simulation results are also put against the analytical ones to show the accuracy level of the proposed analytical method as well as the efficacy of the optimizations
  6. Keywords:
  7. Leakage-aware power optimization ; Temperature-aware power management ; Accuracy level ; Analytical method ; Average power ; Dynamic power consumption ; Dynamic voltage scaling ; Execution time ; Leakage power ; Leakage power consumption ; Markov model ; Power managements ; Power modeling ; Power Optimization ; Processor power consumption ; Processor speed ; Queue size ; Stochastic nature ; System loss ; Temperature behavior ; Upper Bound ; Variable speed ; Electric power utilization ; Energy management ; Fluidized bed combustion ; Markov processes ; Optimization ; Real time systems ; Voltage stabilizing circuits ; Hand held computers
  8. Source: ACM International Conference Proceeding Series ; 2012 , Pages 81-90 ; 9781450314091 (ISBN)
  9. URL: http://dl.acm.org/citation.cfm?doid=2392987.2392997