Discrete and Continuous Optimal Control for Energy Minimization in Real-Time Systems - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2020

Discrete and Continuous Optimal Control for Energy Minimization in Real-Time Systems

Abstract

This paper presents a discrete time Markov Decision Process (MDP) to compute the optimal speed scaling policy to minimize the energy consumption of a single processor executing a finite set of jobs with real-time constraints. We further show that the optimal solution is the same when speed change decisions are taken at arrival times of the jobs as well as when decisions are taken in continuous time.
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Dates and versions

hal-03020330 , version 1 (23-11-2020)

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Bruno Gaujal, Alain Girault, Stéphan Plassart. Discrete and Continuous Optimal Control for Energy Minimization in Real-Time Systems. EBCCSP 2020 - 6th International Conference on Event-Based Control, Communication, and Signal Processing, Sep 2020, Krakow, Poland. pp.1-8, ⟨10.1109/EBCCSP51266.2020.9291353⟩. ⟨hal-03020330⟩
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