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Information Sciences and Systems 2015 pp 57–67Cite as

A State-Dependent Control for Green Computing

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 363))

Abstract

In this paper, we consider a state-dependent mechanism which can be used to reduce mean power consumption in modern communication and computer systems. This mechanism allows to change flexibly the service rate so as to increase the energy efficiency of the system. We focus on computer systems with sojourn time dependent service rate, and present a new regenerative proof of the sufficient stability conditions for a wide class of such systems. We develop both performance analysis in stationary regime and asymptotic analysis of the mean power consumption as the switching threshold increases. Some numerical results are presented and discuss in detail.

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References

  1. Advanced Configuration & Power Interface. http://www.acpi.info/spec.htm

  2. Alonso, M., et al.: Power saving in regular interconnection networks. Parallel Comput. 36, 696–712 (2010) (Elsevier, Amsterdam)

    Google Scholar 

  3. Bekker, R., Borst, S.C., Boxma, O.J., Kella, O.: Queues with workload-dependent arrival and service rates. Queueing Syst. 46, 537–556 (2004)

    Article  MathSciNet  Google Scholar 

  4. Enhanced Intel SpeedStep Technology. http://www.intel.com/cd/channel/reseller/ASMO-NA/ENG/203838.htm

  5. Gandhi, A., et al.: Optimal power allocation in server farms. ACM SIGMETRICS Perform. Eval. Rev. 37, 157–168 (2009) (ACM, Seattle)

    Google Scholar 

  6. Gandhi, A., et al.: Power capping via forced idleness. In: Proceedings of Workshop on Energy Efficient Design, pp. 1–6. Austin, Texas (2009)

    Google Scholar 

  7. Gandhi, A., Harchol-Balter, M., Adan, I.: Server farms with setup costs. Perform. Eval. 67, 1123–1138 (2010)

    Article  MATH  Google Scholar 

  8. Hyytiä, E., Penttinen, A., Aalto, S.: Size- and state-aware dispatching problem with queue-specific job sizes. Eur. J. Oper. Res. 217, 357–370 (2012)

    Article  MATH  Google Scholar 

  9. Hyytiä, E., Righter, R., Aalto, S.: Task assignment in a heterogeneous server farm with switching delays and general energy-aware cost structure. Perform. Eval. 75–76, 17–35 (2014)

    Article  Google Scholar 

  10. IBM EnergyScale for POWER7 Processor-Based Systems. http://www-03.ibm.com/systems/power/hardware/whitepapers/energyscale7.html

  11. Intel TurboBoost Technology. http://www.intel.ru/content/www/ru/ru/architecture-and-technology/turbo-boost/turbo-boost-technology.html

  12. Linux CPUFreq. https://www.kernel.org/doc/Documentation/cpu-freq/governors.txt

  13. Morozov, E., Delgado, R.: Stability analysis of regenerative queueing systems. Autom. Remote Control 70(12), 1977–1991 (2009)

    Article  MathSciNet  Google Scholar 

  14. Tsafrir, D., Etsion, Y., Feitelson, D.G.: Modeling user runtime estimates. Job scheduling strategies for parallel processing. LNCS 3834, 1–35 (2005)

    Google Scholar 

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Acknowledgments

This research is supported by Russian Foundation for Basic Research, projects 13-07-00008, 14-07-31007, 15-07-02341, 15-07-02354, 15-07-02360, and the Program of Strategic development of Petrozavodsk State University.

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Authors and Affiliations

  1. Institute of Applied Mathematical Research of the Karelian Research Centre of the Russian Academy of Sciences, Petrozavodsk, Russia

    Evsey Morozov & Alexander Rumyantsev

  2. Petrozavodsk State University, Petrozavodsk, Russia

    Evsey Morozov

Authors
  1. Evsey Morozov
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  2. Alexander Rumyantsev
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Corresponding author

Correspondence to Evsey Morozov .

Editor information

Editors and Affiliations

  1. Department of Electrical, Imperial College, London, United Kingdom

    Omer H. Abdelrahman

  2. Department of Electrical and Electronic Engineering, Imperial College, London, United Kingdom

    Erol Gelenbe

  3. Department of Electrical and Electronic Engineering, Imperial College, London, United Kingdom

    Gokce Gorbil

  4. Department of Engineering Technology, University of Houston, Houston, Texas, USA

    Ricardo Lent

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Morozov, E., Rumyantsev, A. (2016). A State-Dependent Control for Green Computing. In: Abdelrahman, O., Gelenbe, E., Gorbil, G., Lent, R. (eds) Information Sciences and Systems 2015. Lecture Notes in Electrical Engineering, vol 363. Springer, Cham. https://doi.org/10.1007/978-3-319-22635-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-22635-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22634-7

  • Online ISBN: 978-3-319-22635-4

  • eBook Packages: EngineeringEngineering (R0)

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