owards Performance Improvement of Cloud Applications under Virtualized Environment using PSO based K-means++ Algorithm
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Date
2015-11-27T06:06:50Z
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Abstract
Virtualization generally provides performance isolation between virtual machines running
simultaneously on a single physical machine. But isolation does not happen to its fullest extent which may
lead to performance interference. Due to this, the performance of applications running on one VM may
get affected by running applications of co-existing VMs. This further leads to delay in execution time. As
a result of this, throughput of cloud applications will be degraded. In order to deal with this situation, the
proposed work has been presented which uses Particle Swarm Optimization based k-means++ algorithm
for its implementation. The proposed work has been compared with some of the existing approaches and found to have better throughput and reduction in run time and cost.
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PSO based k-means++, Performance interference, Throughput, Virtualization, Scheduling, Fast genetic k-means++