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Communication Dans Un Congrès Année : 2023

Stochastic modeling and optimization for power and performance control in DVFS systems

Résumé

The paper addresses the problem of performance-energy trade-off in DVFS (Dynamic Voltage Frequency Scaling) systems. We propose a stochastic hybrid model between hysteresis models and server block models. We provide a closed form for the steady-state distribution probability and we establish a "st" type order to compare the performance measures. The fast computation of power and performance measures leads to a multi-objective optimization analysis in two forms: a scalarization method and a Pareto based method. For the two approaches, we propose fast and efficient approximate algorithms that construct progressively an optimal solution. To discuss results, the model is used to simulate a physical server hosting several VMs (Virtual Machines) where we investigate optimal thresholds for the performance-energy trade-off.
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Dates et versions

hal-04176213 , version 1 (03-08-2023)
hal-04176213 , version 2 (18-08-2023)

Identifiants

Citer

Youssef Ait El Mahjoub, Hind Castel-Taleb, Léo Le Corre. Stochastic modeling and optimization for power and performance control in DVFS systems. 37th ECMS European Council for Modelling and Simulation, Jun 2023, Firenze, Italy. pp.497-506, ⟨10.7148/2023-0497⟩. ⟨hal-04176213v2⟩
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