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Holistic multiobjective planning of datacenters powered by renewable energy

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Abstract

Energy efficiency is a major concern to datacenter operators, because the large amounts of energy used by parallel computing infrastructures increases costs and affects the electricity grid. Datacenter power consumption can be reduced by applying intelligent control techniques to dynamically adjust power demand, but this is hampered by conflicting objectives. For instance, the workload can be controlled to adjust power, but at the expense of service quality. Or, the cooling infrastructure demand can be manipulated without affecting workloads, but at the risk of shifting the datacenter temperature outside the acceptable limits. This paper proposes a multiobjective, evolutionary approach to solving the problem of energy-aware task scheduling in datacenters. Our approach takes into account three problem objectives (power consumption, temperature, and quality of service) when both computing and cooling infrastructures are holistically controlled. We report the two best solutions to each of these problem objectives, as well as the selected trade-off solutions between them.

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Acknowledgments

The work of Sergio Nesmachnow is partly supported by ANII and PEDECIBA, Uruguay. The work of Cristian Perfumo received funding from ARENA, the Australian Renewable Energy Agency. The views expressed herein are not necessarily the views of the Australian Government, and the Australian Government does not accept responsibility for any information or advice contained herein.

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Authors and Affiliations

  1. Universidad de la República, Montevideo, Uruguay

    Sergio Nesmachnow

  2. CSIRO Energy, Newcastle, Australia

    Cristian Perfumo

  3. Rutgers University, New Brunswick, NJ, USA

    Íñigo Goiri

Authors
  1. Sergio Nesmachnow
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  2. Cristian Perfumo
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  3. Íñigo Goiri
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Correspondence to Sergio Nesmachnow.

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Nesmachnow, S., Perfumo, C. & Goiri, Í. Holistic multiobjective planning of datacenters powered by renewable energy. Cluster Comput 18, 1379–1397 (2015). https://doi.org/10.1007/s10586-015-0485-1

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  • DOI: https://doi.org/10.1007/s10586-015-0485-1

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