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Implementation of a Green Power Management Algorithm for Virtual Machines on Cloud Computing

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Ubiquitous Intelligence and Computing (UIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6905))

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Abstract

With the development of electronic of government and business, the implementation of these services are increasing the demand for servers, each year a considerable number of the procurement server and out of the server are too old to provide better service. However, due to the speed of the server out of nowhere near the rate of increase, the continued expansion of the server, on behalf of our need to prepare more space, power, air conditioning, network, human and other infrastructure. Derived from these costs, long years, the often less than the purchase price of the server. And the provision of these services is actually quite energy-intensive, especially when the server is running at low utilization, the making idle resources, waste, which is caused by the energy efficiency of data centers the main reason for the low. Even in a very low load, such as 10% CPU utilization, the total power consumption is more than 50% in the peak. Similarly, if the disk, network, or any such resource is the bottleneck, it will increase the waste of other resources. The “Green” became a hot key word recently. And we aimed the topic and proposed power management approach with virtualization technology.

This work is supported in part by the National Science Council, Taiwan R.O.C., under grants no. NSC 100-2218-E-029-004, NSC 99-2218-E-029-001, and NSC 99-3113-S-029-002.

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© 2011 Springer-Verlag Berlin Heidelberg

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Yang, CT., Wang, KC., Cheng, HY., Kuo, CT., Hsu, CH. (2011). Implementation of a Green Power Management Algorithm for Virtual Machines on Cloud Computing. In: Hsu, CH., Yang, L.T., Ma, J., Zhu, C. (eds) Ubiquitous Intelligence and Computing. UIC 2011. Lecture Notes in Computer Science, vol 6905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23641-9_24

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  • DOI: https://doi.org/10.1007/978-3-642-23641-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23640-2

  • Online ISBN: 978-3-642-23641-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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