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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|Published in :
||Volume 1 | Issue 2 | March-April - 2015
|Date of Publication
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.
URL : http://ijsrset.com/IJSRSET152273.php