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European Conference on Energy Efficiency in Large Scale Distributed Systems

EE-LSDS 2013: Energy Efficiency in Large Scale Distributed Systems pp 118–124Cite as

DCworms - A Tool for Simulation of Energy Efficiency in Data Centers

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8046))

Abstract

The focus of this paper is a Data Center Workload and Resource Management Simulator (DCworms) which enables modeling and simulation of data centers to estimate their performance, energy consumption, and energy-efficiency metrics for diverse workloads and management policies. We present its functionality in terms of energy-efficiency modeling and methods of power usage estimations available in the simulator. Moreover, we show an application of DCworms within the CoolEmAll project that addresses the important problem of data center energy efficiency.

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References

  1. vor dem Berge, M., Da Costa, G., Kopecki, A., Oleksiak, A., Pierson, J.-M., Piontek, T., Volk, E., Wesner, S.: Modeling and simulation of data center energy-efficiency in CoolEmAll. In: Huusko, J., de Meer, H., Klingert, S., Somov, A. (eds.) E2DC 2012. LNCS, vol. 7396, pp. 25–36. Springer, Heidelberg (2012)

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  7. The CoolEmAll project website. http://coolemall.eu

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Acknowledgments

This work was partially supported by the COST (European Cooperation in Science and Technology) framework, under Action IC0804.

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Authors and Affiliations

  1. Poznan Supercomputing and Networking Center, Poznan, Poland

    Wojciech Piatek

Authors
  1. Wojciech Piatek
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Corresponding author

Correspondence to Wojciech Piatek .

Editor information

Editors and Affiliations

  1. Toulouse University, Toulouse, France

    Jean-Marc Pierson

  2. Toulouse University, Toulouse, France

    Georges Da Costa

  3. Technical University of Denmark, Lyngby, Denmark

    Lars Dittmann

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© 2013 Springer-Verlag Berlin Heidelberg

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Piatek, W. (2013). DCworms - A Tool for Simulation of Energy Efficiency in Data Centers. In: Pierson, JM., Da Costa, G., Dittmann, L. (eds) Energy Efficiency in Large Scale Distributed Systems. EE-LSDS 2013. Lecture Notes in Computer Science(), vol 8046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40517-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-40517-4_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40516-7

  • Online ISBN: 978-3-642-40517-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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