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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.
Cited literature [25 references]
https://hal.archives-ouvertes.fr/hal-00412509
Contributor : Stephane Girard Connect in order to contact the contributor
Submitted on : Monday, March 12, 2012 - 11:41:30 AM
Last modification on : Thursday, January 20, 2022 - 5:30:15 PM
Long-term archiving on: : Thursday, June 14, 2012 - 2:57:26 PM
Contributor : Stephane Girard Connect in order to contact the contributor
Submitted on : Monday, March 12, 2012 - 11:41:30 AM
Last modification on : Thursday, January 20, 2022 - 5:30:15 PM
Long-term archiving on: : Thursday, June 14, 2012 - 2:57:26 PM
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