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Fast VM Startup by Cooperative Image Caching for Cloud Data Centers

机译:通过云数据中心的协作映像缓存来快速启动VM

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摘要

Virtual machine (VM) management is one of the key problems in cloud data centers. Many efforts have been put on finding an (approximate) optimal placement of VMs at physical machines (PMs) to achieve high resource utility. In this paper, we consider to reduce the startup delay of VMs, which is a key issue for improving user experience and resource utility. The basic idea of our work is to cache VM images at PMs so as to reduce the time of VM image retrieval. By handling VM placement and image placement jointly and de-centrally, we design a joint placement algorithm and an associated layered transport VM selection algorithm, so as to start VMs quickly in the meanwhile save some calculation resources. The key point of our algorithms lies in how to accelerate the startup of VM with limited information in a distributed fat-tree network. The proposed algorithms are evaluated by extensive simulations using a distributed system simulator SimGrid. The results show that our algorithms just lost a little performance in most cases, compared with the centralized algorithm and a classical cache placement strategy.
机译:虚拟机(VM)管理是云数据中心的关键问题之一。已经提出了许多努力在物理机器(PMS)上找到了(近似)VM的最佳位置,以实现高资源实用程序。在本文中,我们考虑减少VM的启动延迟,这是改善用户体验和资源实用程序的关键问题。我们工作的基本思想是在PMS中缓存VM图像,以减少VM图像检索的时间。通过联合和脱节地处理VM放置和图像放置,我们设计一个接合放置算法和相关的分层传输VM选择算法,以便快速启动VM,同时保存一些计算资源。我们的算法的关键点在于如何在分布式脂肪树网络中加速VM的启动,其中包含有限的信息。所提出的算法是使用分布式系统模拟器SIMGRID进行广泛的模拟来评估的。结果表明,我们的算法只是迷失在大多数情况下,一点点的性能,与集中算法和经典的缓存放置策略进行比较。

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