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Handbook of Hardware/Software Codesign pp 1–21Cite as

Joint Computing and Electric Systems Optimization for Green Datacenters

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Abstract

This chapter presents an optimization framework to manage green datacenters using multilevel energy reduction techniques in a joint approach. A green datacenter exploits renewable energy sources and active Uninterruptible Power Supply (UPS) units to reduce the energy intake from the grid while improving its Quality of Service (QoS) . At server level, the state-of-the-art correlation-aware Virtual Machines (VMs) consolidation technique allows to maximize server’s energy efficiency. At system level, heterogeneous Energy Storage Systems (ESS) replace standard UPSs, while a dedicated optimization strategy aims at maximizing the lifetime of the battery banks and to reduce the energy bill , considering the load of the servers. Results demonstrate, under different number of VMs in the system, up to 11.6% energy savings, 10.4% improvement of QoS compared to existing correlation-aware VM allocation schemes for datacenters and up to 96% electricity bill savings.

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Acknowledgements

This work has been partially supported by the EC FP7 GreenDataNet STREP Project (Agreement No. 609000) and the YINS RTD Project (no. 20NA21_150939), funded by Nano-Tera.ch with Swiss Confederation Financing and scientifically evaluated by SNSF.

Author information

Authors and Affiliations

  1. Embedded Systems Laboratory (ESL), EPFL, Lausanne, Switzerland

    Ali Pahlevan

  2. Department of Industrial Engineering, University of Trento, Trento, Italy

    Maurizio Rossi

  3. Embedded Systems Laboratory (ESL), EPFL, Lausanne, Switzerland

    Pablo G. Del Valle

  4. Department of Industrial Engineering, University of Trento, Trento, Italy

    Davide Brunelli

  5. Embedded Systems Laboratory (ESL), EPFL, Lausanne, Switzerland

    David Atienza

Authors
  1. Ali Pahlevan
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  2. Maurizio Rossi
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  3. Pablo G. Del Valle
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  4. Davide Brunelli
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  5. David Atienza
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Corresponding author

Correspondence to Ali Pahlevan .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University, Seoul, Korea (Republic of)

    Soonhoi Ha

  2. Computer Science, Friedrich-Alexander-Universität Computer Science, Nürnberg, Germany

    Jürgen Teich

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© 2016 Springer Science+Business Media Dordrecht

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Pahlevan, A., Rossi, M., G. Del Valle, P., Brunelli, D., Atienza, D. (2016). Joint Computing and Electric Systems Optimization for Green Datacenters. In: Ha, S., Teich, J. (eds) Handbook of Hardware/Software Codesign. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7358-4_35-1

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  • DOI: https://doi.org/10.1007/978-94-017-7358-4_35-1

  • Received:

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-7358-4

  • Online ISBN: 978-94-017-7358-4

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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