Optimization of power consumption and user impact based on point process modeling of the request sequence - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Journal of the Royal Statistical Society: Series C Applied Statistics Year : 2013

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

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.
Fichier principal
Vignette du fichier
jrssc_v3.pdf (210.01 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00412509 , version 1 (01-09-2009)
hal-00412509 , version 2 (04-06-2010)
hal-00412509 , version 3 (09-06-2010)
hal-00412509 , version 4 (12-03-2012)

Identifiers

Cite

Jean-Baptiste Durand, Stéphane 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, 2013, 62 (2), pp.151-165. ⟨10.1111/j.1467-9876.2012.01053.x⟩. ⟨hal-00412509v4⟩
544 View
332 Download

Altmetric

Share

Gmail Facebook X LinkedIn More