Harnessing the geographical flexibility of distributed computing clouds for cooperative self-consumption

Benjamin Camus 1 Anne Blavette 2 Fanny Dufossé 3 Anne-Cécile Orgerie 1
1 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA_D1 - SYSTÈMES LARGE ÉCHELLE
3 DATAMOVE - Data Aware Large Scale Computing
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : Smart grids allow to efficiently perform demand-side management in electrical grids in order to increase the integration of fluctuating and/or intermittent renewable energy sources in the energy mix. In this paper, we consider a distributed computing cloud partially powered by photovoltaic panels as a self-consumer that can also benefit from geographical flexibility: the computing load can be moved from one data center to another one benefiting from better solar irradiance conditions. The various data centers composing the cloud can then cooperate to better synchronise their consumption with their photovoltaic production. The simulation-based results show that our approach can significantly increase the self-consumption of renewable energy and improve the state-of-the-art management techniques for energy-efficient distributed clouds.
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Contributor : Anne-Cécile Orgerie <>
Submitted on : Monday, August 13, 2018 - 11:22:15 AM
Last modification on : Thursday, February 7, 2019 - 5:08:01 PM
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Benjamin Camus, Anne Blavette, Fanny Dufossé, Anne-Cécile Orgerie. Harnessing the geographical flexibility of distributed computing clouds for cooperative self-consumption. ISGT-Europe 2018 - 8th IEEE PES Innovative Smart Grid Technologies Conference Europe, Oct 2018, Sarajevo, Bosnia and Herzegovina. pp.1-6, ⟨10.1109/ISGTEurope.2018.8571867⟩. ⟨hal-01856665⟩

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