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Comparative Analysis of the Mechanisms for Energy Efficiency Improving in Cloud Computing Systems

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2018, ruSMART 2018)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11118))

Abstract

We consider a cloud computing system with three different mechanisms for increasing the energy efficiency of cloud computing systems. We investigate how energy efficiency of a cloud system is affected by a waiting time before a server goes to switch on/standby mode and threshold-based switch. We developed four mathematical models of Cloud computing system in terms of the queuing system and derived the system of equilibrium equations, which makes it possible to obtain the energy consumption indicators.

The publication has been prepared with the support of the “RUDN University Program 5–100” and funded by RFBR according to the research projects No. 16-07-00766 and No. 18-07-00576.

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Authors and Affiliations

  1. Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia

    A. V. Daraseliya, E. S. Sopin, A. K. Samuylov & S. Ya. Shorgin

  2. Institute of Informatics Problems, FRC CSC RAS, Moscow, Russia

    E. S. Sopin & S. Ya. Shorgin

Authors
  1. A. V. Daraseliya
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  2. E. S. Sopin
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  3. A. K. Samuylov
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  4. S. Ya. Shorgin
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Corresponding author

Correspondence to A. V. Daraseliya .

Editor information

Editors and Affiliations

  1. Tampere University of Technology, Tampere, Finland

    Olga Galinina

  2. Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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Daraseliya, A.V., Sopin, E.S., Samuylov, A.K., Shorgin, S.Y. (2018). Comparative Analysis of the Mechanisms for Energy Efficiency Improving in Cloud Computing Systems. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2018 2018. Lecture Notes in Computer Science(), vol 11118. Springer, Cham. https://doi.org/10.1007/978-3-030-01168-0_25

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  • DOI: https://doi.org/10.1007/978-3-030-01168-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01167-3

  • Online ISBN: 978-3-030-01168-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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