A Three-Level Modelling Approach for Asynchronous Speed Scaling in High-Performance Data Centres
Alexander Rumyantsev, Robert Basmadjian, Alexander Stanislavovich Golovin, Sergey Astafiev · 2021
In data centres, there exist several techniques for energy efficiency purposes. When applied, most of those techniques have impact on the quality (e.g. performance) of the underlying services. A careful study is required in order to optimise such an energy-performance trade-off. In this paper, we study the speed scaling as an energy efficiency technique within the scope of high-performance computing (HPC) data centres. We propose a methodology based on three-levels: analytic, simulation and technical. At the analytical level, the matrix-analytic method (MAM) allows one to obtain energy-performance measures explicitly for a small-scale system. At the simulation level, discrete-event simulation (DES) based on the generalised semi-Markov processes (GSMP) is used to derive the corresponding estimates. Finally, at the technical level, a real small-scaled system in a controlled environment is used. The preliminary results demonstrate that simulation and technical models go well together with the theoretical one with an accuracy of more than 95%.