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Software Defined Network Based Virtual Machine Placement in Cloud Systems

机译:在云系统中基于软件定义的网络的虚拟机放置

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As cloud services become mature and provide capabilities for elastic computation and data management, hosting services become increasingly prevalent such as Amazon Web Services, Microsoft Azure, or RedHat OpenStack. Workloads are hosted in these platforms using hypervisors running on physical machines which host virtual machines (VMs) presented to the customer. Software-defined network (SDN) technologies move many of the network functions into the hosts. Accordingly SDN-based VM placements have received significant attention as a way to minimize network traffic between VMs and hosts. Careful placement of VMs can generate a significantly lower amount of network traffic to the hosting provider. Further, it may impact the level of security risk exposed by the VM placement as each VM may have a different level of security risk. In this work, we consider these two conflicting goals by presenting a Software-Defined Network based VM Placement, called SDNVMP, to minimize both network traffic between VMs (and hosts) and security risk by grouping VMs with similar security scrutiny needs. Our results show that the proposed placement algorithm outperforms the baseline counterparts in terms of network traffic overhead and security risk in each VM introduced by such algorithms.
机译:随着云服务的成熟并提供弹性计算和数据管理功能,托管服务变得越来越普遍,例如Amazon Web Services,Microsoft Azure或RedHat OpenStack。使用在物理机上运行的管理程序将工作负载托管在这些平台上,这些物理机托管呈现给客户的虚拟机(VM)。软件定义网络(SDN)技术将许多网络功能移至主机中。相应地,基于SDN的VM放置已作为一种使VM与主机之间的网络流量最小化的方法而受到了广泛关注。小心地放置VM可以大大减少托管服务提供商的网络流量。此外,由于每个VM可能具有不同级别的安全风险,因此可能影响VM放置所暴露的安全风险的级别。在这项工作中,我们通过提出一个基于软件定义的基于网络的VM放置SDNVMP来考虑这两个相互冲突的目标,以通过将具有类似安全审查需求的VM分组来最大程度地减少VM(和主机)之间的网络流量和安全风险。我们的结果表明,在这种算法引入的每个VM中,在网络流量开销和安全风险方面,所提出的放置算法均优于基准算法。

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