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An Approach to Minimizing Downtime Induced by Taking Live Snapshot of Virtual Cluster

机译:通过乘坐虚拟簇的现场快照最小化停机时间的方法

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Cloud computing has emerged as a new computing paradigm which is adopted by more and more application services based on cluster computing. Live snapshot technology is usually used to ensure the reliability of data and high availability of the running virtual machines. However, existing virtual machine live snapshot technologies are not enough to minimize the downtime induced by taking live snapshot for an entire virtual cluster consisting of a large number of virtual machines. An ordinary approach is taking live snapshot of all virtual machines belonging to the virtual cluster concurrently. But this approach may induce a long downtime of an entire virtual cluster which consists of a large number of virtual machines distributed in a small number of hosts. To address this challenge, this paper surveys the factors which raise the downtime of virtual machines induced by taking live snapshot, and defines five metrics used to determine the concurrency strategy of taking live snapshot of different virtual machines. Based on these metrics, we propose a novel approach named Selection Concurrency Strategy which aims to minimize the downtime of virtual machines, and our experiments show that the downtime of virtual cluster consisting of a large number of virtual machines distributed in a small number of hosts using our approach is 33% shorter than that under ordinary approach.
机译:云计算已成为一种新的计算范例,它由基于群集计算的越来越多的应用程序服务而采用。 Live Snapshot技术通常用于确保数据的可靠性和运行虚拟机的高可用性。但是,现有的虚拟机Live快照技术不足以最小化通过为由大量虚拟机组成的整个虚拟群集的实时快照引起的停机时间。普通方法正在同时使用属于虚拟群集的所有虚拟机的实时快照。但这种方法可以诱导整个虚拟群集的长时间,该虚拟群集由分布在少量主机中的大量虚拟机组成。为了解决这一挑战,本文调查了提高通过拍摄实时快照引起的虚拟机的停机的因素,并定义了五种测量标准,用于确定采取不同虚拟机的实时快照的并发策略。基于这些指标,我们提出了一种名为选择并发策略的新方法,该方法旨在最大限度地减少虚拟机的停机时间,我们的实验表明,虚拟群集的停机时间包括在少量主机中分发的大量虚拟机。使用我们的方法比普通方法短33%。

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