Energy Consumption Optimization in Data Center with Latency Based on Histograms and Discrete-Time MDP

Léa Bayati

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Paper

Energy Consumption Optimization in Data Center with Latency Based on Histograms and Discrete-Time MDP

Topics: Energy Management Systems (EMS); Energy Monitoring; Energy-Aware Process Optimisation; Optimization Techniques for Efficient Energy Consumption; Power Consumption

In Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems SMARTGREENS - Volume 1, 98-105, 2023 , Prague, Czech Republic

Author: Léa Bayati

Affiliation: Laboratoire d’Algorithmique Complexité et Logique, Université Paris-Est Créteil (UPEC), 61 Av. du Général de Gaulle, 94000 Créteil, France

Keyword(s): Data Center, Energy Saving, Markov Decision Process, Quality of Services, Latency.

Abstract: This article introduces a probabilistic model for managing power dynamically (DPM) in a data center. The model involves switching servers on and off, while considering both the time it takes for the machines to be-come active and the amount of energy they consume. The goal of DPM is to balance energy consumption with Quality of Service (QoS) requirements. To construct the model, job arrivals and service rates are represented using histograms, which are discrete distributions derived from actual traces, empirical data, or measurements of incoming traffic. The data center is modeled as a queue, and the optimization problem is formulated as a discrete-time Markov decision process (MDP) in order to identify the optimal policy. The proposed approach is evaluated using real traffic traces from Google, and different levels of latency are compared.

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Paper citation in several formats:

Bayati, L. (2023). Energy Consumption Optimization in Data Center with Latency Based on Histograms and Discrete-Time MDP. In Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-651-4; ISSN 2184-4968, SciTePress, pages 98-105. DOI: 10.5220/0011846400003491

@conference{smartgreens23,
author={Léa Bayati.},
title={Energy Consumption Optimization in Data Center with Latency Based on Histograms and Discrete-Time MDP},
booktitle={Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2023},
pages={98-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011846400003491},
isbn={978-989-758-651-4},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - Energy Consumption Optimization in Data Center with Latency Based on Histograms and Discrete-Time MDP
SN - 978-989-758-651-4
IS - 2184-4968
AU - Bayati, L.
PY - 2023
SP - 98
EP - 105
DO - 10.5220/0011846400003491
PB - SciTePress