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Modeling Green Data-Centers and Jobs Balancing with Energy Packet Networks and Interrupted Poisson Energy Arrivals

Published: 12 October 2019 Publication History

Abstract

We investigate micro data-centers systems with intermittent energy (due to solar panels or price of energy) which balance their jobs to mitigate these fluctuations. The model is based on energy packet networks recently proposed by E. Gelenbe and his colleagues. These models explicitly represent both energy and data processing in a combined stochastic process. We prove that under some technical conditions on the rates and with a suitable control of the migration rates, the leakage rates and the service rates, the steady state distribution has a product form steady-state distribution.

References

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Doncel J and Fourneau JM Energy packet networks with multiple energy packet requirements Probab Eng Inf Sci 2019
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Fourneau J, Marin A, Balsamo S. Modeling energy packets networks in the presence of failures. In: 24th IEEE international symposium on modeling, analysis and simulation of computer and telecommunication systems, MASCOTS 2016, London. 2016. p. 144–53.
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Cited By

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  • (2023)Little’s Law in a Single-Server System with Inactive State for Demand-Response in Data Centers with Green SLAsCompanion Proceedings of the 14th ACM International Conference on Future Energy Systems10.1145/3599733.3600255(91-97)Online publication date: 20-Jun-2023

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Published In

cover image SN Computer Science
SN Computer Science  Volume 1, Issue 1
Jan 2020
823 pages

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 12 October 2019
Accepted: 02 September 2019
Received: 22 July 2019

Author Tags

  1. Energy packet network
  2. Product form equilibrium distribution
  3. Interrupted Poisson process
  4. Clouds with harvesting energy

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View all
  • (2023)Little’s Law in a Single-Server System with Inactive State for Demand-Response in Data Centers with Green SLAsCompanion Proceedings of the 14th ACM International Conference on Future Energy Systems10.1145/3599733.3600255(91-97)Online publication date: 20-Jun-2023

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