A Stochastic Approach for Optimizing Green Energy Consumption in Distributed Clouds

Benjamin Camus, Fanny Dufossé, Anne-Cécile Orgerie

2017

Abstract

The energy drawn by Cloud data centers is reaching worrying levels, thus inciting providers to install on-site green energy producers, such as photovoltaic panels. Considering distributed Clouds, workload managers need to geographically allocate virtual machines according to the green production in order not to waste energy. In this paper, we propose SAGITTA: a Stochastic Approach for Green consumption In disTributed daTA centers. We show that compared to the optimal solution, SAGITTA consumes 4% more brown energy, and wastes only 3.14% of the available green energy, while a traditional round-robin solution consumes 14.4% more energy overall than optimum, and wastes 28.83% of the available green energy.

Paper Citation

in Harvard Style

Camus B., Dufossé F. and Orgerie A. (2017). A Stochastic Approach for Optimizing Green Energy Consumption in Distributed Clouds . In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-241-7, pages 47-59. DOI: 10.5220/0006306500470059

in Bibtex Style

@conference{smartgreens17,
author={Benjamin Camus and Fanny Dufossé and Anne-Cécile Orgerie},
title={A Stochastic Approach for Optimizing Green Energy Consumption in Distributed Clouds},
booktitle={Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2017},
pages={47-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006306500470059},
isbn={978-989-758-241-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - A Stochastic Approach for Optimizing Green Energy Consumption in Distributed Clouds
SN - 978-989-758-241-7
AU - Camus B.
AU - Dufossé F.
AU - Orgerie A.
PY - 2017
SP - 47
EP - 59
DO - 10.5220/0006306500470059