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首页> 外文期刊>International Journal of Engineering and Technology >Towards Performance Improvement of Cloud Applications under Virtualized Environment using PSO based K-means++ Algorithm
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Towards Performance Improvement of Cloud Applications under Virtualized Environment using PSO based K-means++ Algorithm

机译:使用基于PSO的K-means ++算法实现虚拟环境下云应用程序的性能改进

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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.
机译:虚拟化通常在单个物理机上同时运行的虚拟机之间提供性能隔离。但是隔离并没有最大程度地发生,这可能会导致性能干扰。因此,在一个VM上运行的应用程序的性能可能会受到运行共存VM的应用程序的影响。这进一步导致执行时间的延迟。结果,云应用的吞吐量将降低。为了应对这种情况,提出了使用基于粒子群优化的基于k-means ++的算法的拟议工作。拟议的工作已与某些现有方法进行了比较,发现具有更好的吞吐量并减少了运行时间和成本。

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