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Green IT scheduling for data center powered with renewable energy

Grange, Léo and Da Costa, Georges and Stolf, Patricia Green IT scheduling for data center powered with renewable energy. (2018) Future Generation Computer Systems - FGCS, 86. 99-120. ISSN 0167-739X

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Official URL: https://doi.org/10.1016/j.future.2018.03.049

Abstract

In recent years, the question of the energy consumption of data centers has become more and more important, and several studies raised the possibility of using renewable energy to power them. The intermittent nature of commonly used renewable energy sources is a major drawback of using them directly on-site. In this paper, we present an approach for scheduling batch jobs with due date constraints, which takes into account the availability of the renewable energy to reduce the need of brown energy and therefore running cost. The approach we propose differs from the existing methods by providing a scheduling algorithm agnostic of the electrical infrastructure. A separated system, managing the renewable sources, provides an arbitrary objective function, which is used to guide the scheduling heuristic. We implemented our approach in a data center simulator, and evaluated it by considering a small-scale center powered with solar panels and connected to the electrical grid. The relationship between the flexibility allowed by the user negotiated SLAs and the behavior of the algorithm is studied, and compared to existing approaches from the literature. Our experiments show a reduction of brown energy consumption up to 49% and a cost saving up to 51%, compared to a traditional scheduler unaware of renewable availability.

Item Type:Article
Additional Information:https://www.sciencedirect.com/science/article/pii/S0167739X17300092
HAL Id:hal-02319765
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Funders:
ANR : Agence nationale de la recherche (France) - Groupe d'intérêt scientifique (SIG) animé par INRIA : Grid'5000 (http://www.grid5000.fr) (France) - INRIA : Institut national de recherche en sciences du numérique (France)
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Deposited On:08 Oct 2019 08:50

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