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Priority-Aware VM Allocation and Network Bandwidth Provisioning in Software-Defined Networking (SDN)-Enabled Clouds

机译:启用软件定义网络(SDN)的云中具有优先级的VM分配和网络带宽设置

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In the multi-tenant architecture of cloud computing, different applications have different requirements and priorities. In the case of network congestion within a data center, failure of transferring data on time may cause a significant performance degradation of an application. It may result in a severe failure for a critical application that needs a certain level of QoS satisfaction, therefore, efficient resource provisioning techniques are vital to ensure transferring the high-priority data over the other traffics even in network congestion. In Software-Defined Networking (SDN)-enabled clouds, this is possible by reconfiguring network flows dynamically adapting to network traffics. In this paper, we propose priority-aware resource placement algorithms considering both host and network resources. Our priority-aware VM allocation (PAVA) algorithm places VMs of the high-priority application to closely connected hosts to reduce the chance of network congestion caused by other tenants. The required bandwidth of a critical application is also guaranteed by bandwidth allocation with a configuration of priority queues on each networking device in a data center network managed by SDN controller. Our experiment results show that the combination of proposed approaches can allocate sufficient resources for high-priority applications to meet the application's QoS requirement in a multi-tenant cloud data center.
机译:在云计算的多租户架构中,不同的应用程序具有不同的要求和优先级。在数据中心内的网络拥塞的情况下,无法及时传输数据可能会导致应用程序的性能显着下降。对于需要一定水平的QoS满足要求的关键应用程序,可能会导致严重故障,因此,有效的资源供应技术对于即使在网络拥塞时也要确保在其他流量上传输高优先级数据至关重要。在启用了软件定义网络(SDN)的云中,可以通过重新配置网络流以动态适应网络流量来实现这一点。在本文中,我们提出了同时考虑主机和网络资源的优先级感知资源放置算法。我们的优先级虚拟机分配(PAVA)算法将高优先级应用程序的虚拟机放置在紧密连接的主机上,以减少其他租户导致网络拥塞的机会。通过在SDN控制器管理的数据中心网络中每个联网设备上配置优先级队列,还可以通过带宽分配来保证关键应用程序所需的带宽。我们的实验结果表明,所提出方法的组合可以为高优先级应用程序分配足够的资源,以满足多租户云数据中心中应用程序的QoS要求。

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