Power Management in Grid Computing with Xen

  • Fabien Hermenier
  • Nicolas Loriant
  • Jean-Marc Menaud
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4331)


While chip vendors still stick to Moore’s law, and the performance per dollar keeps going up, the performance per watt has been stagnant for last few years. Moreover energy prices continue to rise worldwide. This poses a major challenge to organisations running grids, indeed such architectures require large cooling systems. Indeed the one-year cost of a cooling system and of the power consumption may outfit the grid initial investment.

We observe, however, that a grid does not constantly run at peak performance. In this paper, we propose a workload concentration strategy to reduce grid power consumption. Using the Xen virtual machine migration technology, our power management policy can dispatch transparently and dynamically any applications of the grid. Our policy concentrates the workload to shutdown nodes that are unused with a negligible impact on performance. We show through evaluations that this policy decreases the overall power consumption of the grid significantly.


Virtual Machine Grid Computing Power Management Decision Agent Live Migration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Fabien Hermenier
    • 1
  • Nicolas Loriant
    • 1
  • Jean-Marc Menaud
    • 1
  1. 1.OBASCO project, École des Mines de NantesINRIA, LINANantes Cedex 3France

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