Optimization of power consumption and user impact based on point process modeling of the request sequence

Jean-Baptiste Durand 1 Stephane Girard 1 Victor Ciriza 2 Laurent Donini 1, 2
1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : This article addresses the optimal choice of the waiting period (or timeout) that a device should respect before entering sleep mode, so as to optimize a tradeoff between power consumption and user impact. The optimal timeout is inferred by appropriate statistical modeling of the times between user requests. In a test approach, these times are supposed independent, and a constant optimal timeout is inferred accordingly. In a second approach, some dependency is introduced through a hidden Markov chain, which also models specific activity states, like business hours or night periods. This model leads to a statistical framework for computing adaptive optimal timeout values. Different strategies are assessed using real datasets, on the basis of the power consumption, user impact and the frequency of wrong decisions.
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Article dans une revue
Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2013, 62 (2), pp.151-165. 〈10.1111/j.1467-9876.2012.01053.x〉
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Jean-Baptiste Durand, Stephane Girard, Victor Ciriza, Laurent Donini. Optimization of power consumption and user impact based on point process modeling of the request sequence. Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2013, 62 (2), pp.151-165. 〈10.1111/j.1467-9876.2012.01053.x〉. 〈hal-00412509v4〉

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