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Server Power Consumption: Measurements and Modeling with MSRs

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Challenges in Automation, Robotics and Measurement Techniques (ICA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 440))

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Abstract

Precise model of power consumption is crucial for the design of controllers improving energy effectiveness of servers. This paper shows how the power usage statistics available via processor registers may be correlated to the total power consumption measurements of servers performing different types of operations. Identification of such relations may support development of power consumption models and application specific energy-aware server controllers.

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Notes

  1. 1.

    https://software.intel.com/en-us/articles/intel-power-governor.

  2. 2.

    http://people.seas.harvard.edu/~apw/stress/.

  3. 3.

    http://www.mplayerhq.hu.

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Authors and Affiliations

  1. Research and Academic Computer Network NASK, ul. Wawozowa 18, 02-796, Warszawa, Poland

    Piotr Arabas & Michał Karpowicz

Authors
  1. Piotr Arabas
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  2. Michał Karpowicz
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Corresponding author

Correspondence to Piotr Arabas .

Editor information

Editors and Affiliations

  1. Automation and Measurements PIAP, Industrial Research Institute for, Warsaw, Poland

    Roman Szewczyk

  2. Automation and Measurements PIAP, Industrial Research Institute for, Warsaw, Poland

    Cezary Zieliński

  3. Automation and Measurements PIAP, Industrial Research Institute for, Warsaw, Poland

    Małgorzata Kaliczyńska

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© 2016 Springer International Publishing Switzerland

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Arabas, P., Karpowicz, M. (2016). Server Power Consumption: Measurements and Modeling with MSRs. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Challenges in Automation, Robotics and Measurement Techniques. ICA 2016. Advances in Intelligent Systems and Computing, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-319-29357-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-29357-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29356-1

  • Online ISBN: 978-3-319-29357-8

  • eBook Packages: EngineeringEngineering (R0)

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