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Load balancing virtual machines deployment mechanism in SDN open cloud platform

机译:SDN开放云平台中的负载平衡虚拟机部署机制

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摘要

As a cloud data center may be located over many regions and the network environment within a cloud data center may differ from traditional ones, how Virtual Machines (VMs) are deployed will influence service performance. This study, based on the Eucalyptus cloud computing and Software-Defined Networking platform, proposes a load balancing scheduling mechanism that works on the current network status between users and associated VMs to improve the cloud services. This study also set up a node controller on the same subnet and different subnet. Study results indicate that in the same subnet of normal network, the VMs deployed with the proposed mechanism improve transmission time by 2.64% and 68.72% compared to that of the Round Robin and Greedy mechanisms consecutively. In the different subnet of normal network scenario, the proposed mechanism improves transmission time by 22.01% and 52.11% compared to that of the Round Robin and Greedy mechanisms respectively.
机译:由于云数据中心可能位于许多区域,并且云数据中心内的网络环境可能与传统区域不同,因此虚拟机(VM)的部署方式将影响服务性能。这项研究基于Eucalyptus云计算和软件定义的网络平台,提出了一种负载平衡调度机制,该机制可根据用户和关联VM之间的当前网络状态来改善云服务。本研究还在同一子网和不同子网中设置了节点控制器。研究结果表明,在普通网络的同一子网中,与Round Robin和Greedy机制相比,使用该机制部署的VM的传输时间连续改善了2.64%和68.72%。在正常网络情况下的不同子网中,与Round Robin和Greedy机制相比,该机制分别将传输时间缩短了22.01%和52.11%。

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