Run-time users/applications interaction analysis for power consumption optimization - Université Polytechnique des Hauts-de-France Access content directly
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Run-time users/applications interaction analysis for power consumption optimization

Abstract

Personal and mobile computing systems represents nowadays one of the biggest market segment and fastest adopted products. The importance of saving power for these handheld devices is critical. The benefits are increasing battery life and system reliability. In these systems, power not only goes to the processing elements but also to Input/Output (IO) subsystem such communication peripherals and LCD display. In this paper, we propose a new tool that offers exploiting user's information such as its position, needs and history to reduce energy consumption.
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Dates and versions

hal-03472841 , version 1 (09-12-2021)

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Olivier Carlier, Jamel Tayeb, Mikael Desertot, Sylvain Lecomte, Smail Niar. Run-time users/applications interaction analysis for power consumption optimization. 2013 Fourth Annual International Conference on Energy Aware Computing Systems and Applications (ICEAC), Dec 2013, Istanbul, Turkey. pp.181-186, ⟨10.1109/ICEAC.2013.6737660⟩. ⟨hal-03472841⟩
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