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Overload Avoidance for Dynamic Virtual Machine Resource Allocation Environment


Pillapakam Sridharan Srivatsan, M Manimaran, V Manikandan, M. Murugesan
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Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of skewness to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.

Pillapakam Sridharan Srivatsan, M Manimaran, V Manikandan, M. Murugesan

multi cloud storage, cloud user, skewness, disaster recovery, reencryption, Green Computing, CMS QoS, TTP, CPDP

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Publication Details

Published in : Volume 1 | Issue 2 | March-April - 2015
Date of Publication Print ISSN Online ISSN
2015-04-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
221-229 IJSRSET152273   Technoscience Academy

Cite This Article

Pillapakam Sridharan Srivatsan, M Manimaran, V Manikandan, M. Murugesan, "Overload Avoidance for Dynamic Virtual Machine Resource Allocation Environment", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.221-229, March-April-2015.
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