Discrete-Time MDP Policy for Energy-Aware Data Center

Léa Bayati

2023

Abstract

This paper presents a stochastic model for Dynamic Power Management (DPM) that consists in dynamically switching-on/off servers in the data center to ensure a reasonable energy consumption with a good Quality of Services (QoS). In this work, arrival jobs are specified with histograms which are discrete identically independently distributions obtained from real traces, empirical data, or incoming traffic measurements. We model a data center by a queue, then we formulate the optimization problem by a discrete time Markov Decision Process (MDP) to find the optimal policy. We prove also some structural properties of the optimal policy. Our approach was applied and tested for several data center parameters with arrivals modeled by histograms obtained from real Google traffic traces.

Paper Citation

in Harvard Style

Bayati L. (2023). Discrete-Time MDP Policy for Energy-Aware Data Center. In Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-651-4, SciTePress, pages 89-97. DOI: 10.5220/0011846300003491

in Bibtex Style

@conference{smartgreens23,
author={Léa Bayati},
title={Discrete-Time MDP Policy for Energy-Aware Data Center},
booktitle={Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2023},
pages={89-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011846300003491},
isbn={978-989-758-651-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Discrete-Time MDP Policy for Energy-Aware Data Center
SN - 978-989-758-651-4
AU - Bayati L.
PY - 2023
SP - 89
EP - 97
DO - 10.5220/0011846300003491
PB - SciTePress