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A virtual cluster embedding approach by coordinating virtual network and software-defined network

机译：通过协调虚拟网络和软件定义的网络进行虚拟群集嵌入方法

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Virtual cluster, as a fundamental service of cloud computing, is an important delivery model of cloud services. Allocating physical resources for a virtual cluster is known as virtual cluster embedding (VCE), which has a significant impact on the performance. VCE includes the components of virtual machine, virtual switch, virtual link, virtual software-defined network (SDN) controller and cluster system controller. VCE needs to be considered comprehensively to adapt the influencing factor weight proportion and to be flexible for different types of embedding. This paper, based on the topology of the cloud data center network, develops a coordinated VCE approach, called CoVCE. The approach combines virtual network with SDN to form virtual SDN and weakens slightly the constraints of VM placement. The network centrality, correlation property and resource fragmentation are optimized with multiple objectives to receive more requests, increase the throughput and decrease network delay and runtime. The CoVCE method integrates not only the logical topology of virtual machines in the cluster but also the relationship with virtual switch, virtual link and control services. This does not only optimize the placement location of virtual components, but also allows the virtual resources to migrate upon virtual cluster requests. The method further improves the utilization of physical resources and reduces resource fragmentation. According to extensive simulation and emulation experiments and comparison with correlative algorithms, CoVCE effectively reduces network delays, offers a higher embedding efficiency, improves user experiences and, to some extent, also improves the revenue/cost ratio and throughput.
机译：虚拟集群作为云计算的基本服务，是云服务的重要交付模型。为虚拟群集的物理资源分配称为虚拟群集嵌入（VCE），对性能产生重大影响。 VCE包括虚拟机，虚拟交换机，虚拟链路，虚拟软件定义网络（SDN）控制器和群集系统控制器的组件。 vCE需要全面地考虑，以适应影响因子重量比例，并为不同类型的嵌入进行灵活。本文基于云数据中心网络的拓扑，开发了一个调用Covce的协调VCE方法。该方法将虚拟网络与SDN结合以形成虚拟SDN并略微削弱VM放置的约束。通过多个目标优化网络中心，关联属性和资源碎片，以获得更多请求，提高吞吐量并减少网络延迟和运行时。 CoVCE方法不仅集成了群集中虚拟机的逻辑拓扑，还集成了与虚拟交换机，虚拟链路和控制服务的关系。这不仅优化了虚拟组件的放置位置，还允许虚拟资源在虚拟群集请求上迁移。该方法进一步提高了物理资源的利用率，减少了资源碎片。根据广泛的模拟和仿真实验和与相关算法的比较，CoVCE有效地降低了网络延迟，提供更高的嵌入效率，提高用户体验，在某种程度上还提高了收入/成本比和吞吐量。

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