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A particle swarm optimization algorithm for power-aware virtual machine allocation

机译:用于功率感知型虚拟机分配的粒子群优化算法

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Cloud Computing is an increasingly maturing terminology that has been researched upon widely from all front. Though many services are provided by the cloud environment, the foundation of all the services is Infrastructure as a Service, in which the major concentration is virtual machine allocation. In the cloud computing environment power consumption becomes a major issue hence the data center's energy consumption is very remarkable. Our focus is to how can a cloud provider multiplexing their physical resources to cloud user to reduce the power consumption of the data centers. In this paper, we have explored the particle swarm optimization algorithm for the virtual machine provisioning to make the cloud data centers as power efficient. We discuss the power model for the servers, propose the power aware PSO algorithm for the virtual machine provisioning and its results.
机译:云计算是一种日趋成熟的术语,已经从各个方面进行了广泛的研究。尽管云环境提供了许多服务,但是所有服务的基础都是基础架构即服务,其中主要集中在虚拟机分配上。在云计算环境中,功耗已成为一个主要问题,因此数据中心的能耗非常可观。我们的重点是云提供商如何将其物理资源多路复用到云用户,以减少数据中心的功耗。在本文中,我们探索了用于虚拟机供应的粒子群优化算法,以使云数据中心具有高能效。我们讨论了服务器的电源模型,提出了用于虚拟机配置的电源感知PSO算法及其结果。

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