支持OpenStack的实例感知网络调度

M. Scharf, M. Stein, T. Voith, V. Hilt
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引用次数: 17

摘要

云计算系统需要一个放置逻辑来决定在哪里分配资源。在最先进的平台(如OpenStack)中,这个调度器在启动新实例时考虑多个约束,特别是所需的计算和内存资源。然而,这种调度机制通常既不考虑虚拟机的网络需求,也不考虑实际可用的网络资源。在本文中,我们提出了OpenStack调度器的扩展,通过考虑节点之间和节点之间的带宽限制,实现实例的网络感知放置。我们的解决方案跟踪主机本地网络资源分配,并且它可以与带宽强制机制(如速率限制)相结合。我们提出了一个原型,它只需要在OpenStack开源软件中进行很少的更改。与OpenStack默认方法相比,测试平台测量结果证明了我们的解决方案的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network-Aware Instance Scheduling in OpenStack
Cloud computing systems require a placement logic that decides where to allocate resources. In state-of-the-art platforms such as OpenStack, this scheduler takes into account multiple constraints when starting a new instance, including in particular the required computational and memory resources. However, this scheduling mechanism typically neither considers network requirements of Virtual Machines nor the networking resources that are actually available. In this paper we present an extension of the OpenStack scheduler that enables a network-aware placement of instances by taking into account bandwidth constraints to and from nodes. Our solution keeps track of host-local network resource allocation, and it can be combined with bandwidth enforcement mechanisms such as rate limiting. We present a prototype that requires only very few changes in the OpenStack open source software. Testbed measurement results demonstrate the benefit of our solution compared to the OpenStack default approach.
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