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LayerMover: Storage Migration of Virtual Machine across Data Centers Based on Three-Layer Image Structure

机译:除草剂:基于三层图像结构,存储虚拟机的存储迁移

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Live Virtual Machine (VM) migration across data centers is an important support technology which will bring benefits to both cloud providers and users. At present, VM storage migration becomes the bottleneck of this technology as it explores only the static data feature of image files without much consideration on data semantics. In this paper, we propose a new space-efficient VM image structure-three-layer structure. According to different functions and features, the data of a VM are separated into an Operating System (OS) layer, a Working Environment (WE) layer, and a User Data (UD) layer. On basis of three-layer image structure, we design a novel VM storage migration system-LayerMover. It tries to improve the migration performance through optimizing current data deduplication methods. To evaluate the potential performance gains of LayerMover, we explore the similarity features of WE layer data. Our experimental results show that the similarity ratio between different images can reach 70%. Our experiments about the VM storage migration performance of LayerMover show that it can be 27% faster than current migration methods for twolayer image structures under our experimental environments. When migrating a VM in a second round or migrating a batch of VMs, LayerMover will see more performance improvement.
机译:数据中心的实时虚拟机(VM)迁移是一个重要的支持技术,将为云提供商和用户带来好处。目前,VM存储迁移成为该技术的瓶颈,因为它仅在没有多大考虑数据语义上探讨图像文件的静态数据特征。在本文中,我们提出了一种新的空间高效的VM图像结构 - 三层结构。根据不同的功能和特征,VM的数据分为操作系统(OS)层,工作环境(WE)层和用户数据(UD)层。在三层图像结构的基础上,我们设计了一种新颖的VM存储迁移系统 - 除草剂。它试图通过优化当前数据重复数据删除方法来提高迁移性能。为了评估除去的潜在性能,我们探索了我们层数的相似性功能。我们的实验结果表明,不同图像之间的相似性比率可达70%。我们的实验关于除去选手的VM存储迁移性能,表明它可以比我们的实验环境下的二晶体图像结构的当前迁移方法快27%。在第二轮中迁移VM或迁移一批VM时,PlayerMor将看到更性能的改进。

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