Residual Capacity-Aware Virtual Machine Assignment for Reducing Network Loads in Multi-tenant Data Center Networks
Residual Capacity-Aware Virtual Machine Assignment for Reducing Network Loads in Multi-tenant Data Center Networks
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DOI：
10.1007/s10922-019-09492-1
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发表时间：
2019-10-01
影响因子：
3.6
通讯作者：
Muraguchi, Masahiro
中科院分区：
文献类型：
--
作者：
Kimura, Tomotaka;Suzuki, Takaya;Muraguchi, Masahiro
提出了一种多租户数据中心网络中剩余容量感知的虚拟机分配方案。在多租户数据中心中，租户提交其资源需求，并且数据中心根据需求提供分配给物理服务器的VM。这些VM相互通信以执行分布式处理。这种分布式处理的性能取决于由VM传送的业务量，因为业务量的增加导致网络拥塞，这导致分组丢失和高传输延迟。因此，我们需要一个适当的虚拟机分配策略，避免网络拥塞的产生，以满足租户的要求。该方案执行虚拟机分配，减少网络负载所造成的流量注入到数据中心网络，考虑到虚拟机之间的流量和物理服务器的剩余容量。通过仿真实验，我们证明了该方案有效地减少了网络负载。
This paper proposes a residual capacity-aware virtual machine (VM) assignment scheme for multi-tenant data center networks. In multi-tenant data centers, tenants submit their resource requirements and the data centers provide VMs that are assigned to physical servers according to the requirements. These VMs communicate with each other to execute distributed processing. The performance of such distributed processing depends on the amount of traffic communicated by the VMs because the increase in traffic volume causes network congestion, which leads to packet losses and high transmission delay. Therefore, we need an appropriate VM assignment strategy that avoids the generation of network congestion in order to satisfy the requirements of the tenants. The proposed scheme performs VM assignment that reduces the network loads caused by traffic injected into data center networks, taking into account the traffic volume among VMs and the residual capacities of physical servers. Through simulation experiments, we demonstrate that the proposed scheme reduces the network loads efficiently.