Abstract
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.
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Hermenier, F., Loriant, N., Menaud, JM. (2006). Power Management in Grid Computing with Xen. In: Min, G., Di Martino, B., Yang, L.T., Guo, M., Rünger, G. (eds) Frontiers of High Performance Computing and Networking – ISPA 2006 Workshops. ISPA 2006. Lecture Notes in Computer Science, vol 4331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11942634_43
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DOI: https://doi.org/10.1007/11942634_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49860-5
Online ISBN: 978-3-540-49862-9
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