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Authors: Benjamin Camus 1 ; Fanny Dufossé 1 and Anne-Cécile Orgerie 2

Affiliations: 1 Inria, France ; 2 CNRS, France

Keyword(s): Data Centers, Distributed Clouds, Energy Efficiency, Renewable Energy, Scheduling, On/off Techniques.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Energy-Aware Systems and Technologies ; Green Data Centers ; Renewable Energy Resources ; Scheduling and Switching Power Supplies ; Sustainable Computing and Communications

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.

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Paper citation in several formats:
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 - SMARTGREENS; ISBN 978-989-758-241-7; ISSN 2184-4968, SciTePress, pages 47-59. DOI: 10.5220/0006306500470059

@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 - SMARTGREENS},
year={2017},
pages={47-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006306500470059},
isbn={978-989-758-241-7},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - A Stochastic Approach for Optimizing Green Energy Consumption in Distributed Clouds
SN - 978-989-758-241-7
IS - 2184-4968
AU - Camus, B.
AU - Dufossé, F.
AU - Orgerie, A.
PY - 2017
SP - 47
EP - 59
DO - 10.5220/0006306500470059
PB - SciTePress