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首页> 外文期刊>Systems Journal, IEEE >Pre-Filter-Copy: Efficient and Self-Adaptive Live Migration of Virtual Machines
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Pre-Filter-Copy: Efficient and Self-Adaptive Live Migration of Virtual Machines

机译：过滤前复制：高效且自适应的虚拟机实时迁移

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摘要

Live migration of virtual machines (VMs) is useful for resource management of data centers and cloud platforms. The precopy algorithm is widely used for memory migration. However, when encountered with write-intensive workloads, the precopy's straightforward iteration strategy will become inefficient. Worse still, it is hard to tune the performance with the existing parameters, unless load characteristics are known in advance. In this paper, we propose an improved pre-filter-copy (PFC) algorithm. The main target is to reduce migration time and bandwidth resource consumption of the precopy algorithm, while keeping downtime at the same level. We designed a novel data filter to achieve this goal. In each round of iteration, it forecasts the pages that will be subsequently dirtied and then filters them from the send list. Meanwhile, previously filtered pages will be reconsidered, to see if they can be added to the send list. This ensures that the downtime will not be increased. Furthermore, a new parameter is proposed to improve the adaptivity of the precopy algorithm. Experimental results show that the PFC algorithm significantly reduces migration time and the amount of migrated data, while keeping the downtime at the same level.
机译：虚拟机（VM）的实时迁移对于数据中心和云平台的资源管理很有用。预复制算法已广泛用于内存迁移。但是，当遇到写密集型工作负载时，预拷贝的直接迭代策略将变得效率低下。更糟糕的是，除非事先知道负载特性，否则很难使用现有参数来调整性能。在本文中，我们提出了一种改进的预过滤复制（PFC）算法。主要目标是减少预复制算法的迁移时间和带宽资源消耗，同时将停机时间保持在同一水平。我们设计了一种新颖的数据过滤器来实现这一目标。在每轮迭代中，它都会预测随后将被弄脏的页面，然后从发送列表中对其进行过滤。同时，将重新考虑以前过滤的页面，以查看是否可以将其添加到发送列表中。这样可以确保停机时间不会增加。此外，提出了一个新的参数来提高预复制算法的适应性。实验结果表明，PFC算法可显着减少迁移时间和迁移数据量，同时将停机时间保持在同一水平。

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