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EPSCS: Simulating and Measuring Energy Proportionality of Server Clusters

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Database Systems for Advanced Applications (DASFAA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9050))

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Abstract

Energy proportionality for a server cluster means energy consumption is proportional to the workloads running on the cluster. One problem is that it is too costly, time-consuming, and complex to build a real cluster to evaluate energy-proportional algorithms. Aiming to solve this problem, we propose to build a prototype system that is able to simulate and test energy proportionality of a server cluster quickly and easily. Our system, named Energy-Proportional Server Cluster Simulator (EPSCS), allows users to configure a virtual server cluster and test energy proportionality on real traces continuously. We implement three energy-proportional algorithms in EPSCS and visualize the real-time results to evaluate time performance and energy consumption. New algorithms can be integrated into EPSCS and be compared with existing ones. We first describe the architecture and key designs of EPSCS. And finally, a case study of EPSCS’s demonstration is presented.

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References

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, University of and Technology of China, Hefei, 230027, China

    Jiazhuang Xie, Peiquan Jin, Shouhong Wan & Lihua Yue

  2. Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, 230027, China

    Peiquan Jin, Shouhong Wan & Lihua Yue

Authors
  1. Jiazhuang Xie
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  2. Peiquan Jin
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  3. Shouhong Wan
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  4. Lihua Yue
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Corresponding author

Correspondence to Peiquan Jin .

Editor information

Editors and Affiliations

  1. Universität München, München, Germany

    Matthias Renz

  2. University of Southern California, Los Angeles, USA

    Cyrus Shahabi

  3. University of Queensland, Brisbane, Australia

    Xiaofang Zhou

  4. Monash University, Clayton, Australia

    Muhammad Aamir Cheema

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© 2015 Springer International Publishing Switzerland

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Xie, J., Jin, P., Wan, S., Yue, L. (2015). EPSCS: Simulating and Measuring Energy Proportionality of Server Clusters. In: Renz, M., Shahabi, C., Zhou, X., Cheema, M. (eds) Database Systems for Advanced Applications. DASFAA 2015. Lecture Notes in Computer Science(), vol 9050. Springer, Cham. https://doi.org/10.1007/978-3-319-18123-3_35

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  • DOI: https://doi.org/10.1007/978-3-319-18123-3_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18122-6

  • Online ISBN: 978-3-319-18123-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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