吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 776-781.doi: 10.13229/j.cnki.jdxbgxb201403031

• Orignal Article • Previous Articles     Next Articles

Dynamic power management stochastic policy for non-stationary multi-task

MA Xi-qiang1,2,LIU Wei-ya1,ZHENG Xi-feng1,CHENG Peng1,2   

  1. 1.Changchun Institute of Optic,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;
    2.University of Chinese Academy of Sciences,Beijing 100039,China
  • Received:2012-12-21 Online:2014-03-01 Published:2014-03-01

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Abstract: A dynamic power management stochastic policy for non-stationary multi-task is proposed. First, device-requester utilization lookup table was constructed based on system message, and distribution was updated according to the actual time interval. Then, a Semi-Markov stochastic model was built, and the cost function and objective function were defined. The discount criteria optimization method based on linear programming strategy was given. The moment of decision and conversion state was pointed out. Experimental results show that, while considering the conditions of the performance constraints, the algorithm has good stability; delay rate is less than 0.10; competitive rate can reach 0.57. The algorithm reduces power consumption more efficiently than other policies, and is beneficial to the application in embedded systems.

Key words: computer application, dynamic power management, Markov decision processes, policy optimization, embedded system

CLC Number: 

  • TP301
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