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GBFS: Efficient Data-Sharing on Hybrid Platforms: Towards adding WAN-Wide Elasticity to DFSes

机译:GBFS:混合平台上的高效数据共享:旨在为DFS添加WAN范围的弹性

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Applications dealing with huge amounts of data suffer significant performance impacts when they are deployed on top of an hybrid platform (i.e. The extension of a local infrastructure with external cloud resources). More precisely, through a set of preliminary experiments we show that mechanisms which enable on demand extensions of current Distributed File Systems (DFSes) are required. These mechanisms should be able to leverage external storage resources while taking into account the performance constraints imposed by the physical network topology used to interconnect the different sites. Our answer to such a challenge is the Group Based File System proposal (GBFS), a glue providing in somehow the elasticity capability of storage resources by federating on demand any POSIX file systems. Although our first prototype is under heavy development, we discuss in this paper the GBFS model and few preliminary but promising results.
机译:当将处理大量数据的应用程序部署在混合平台之上时(即,使用外部云资源扩展本地基础架构),会对性能产生重大影响。更准确地说,通过一组初步实验,我们表明需要能够按需扩展当前分布式文件系统(DFS)的机制。这些机制应该能够利用外部存储资源,同时考虑到用于互连不同站点的物理网络拓扑所施加的性能限制。我们对这一挑战的答案是基于组的文件系统建议(GBFS),它是一种胶水,可以通过按需联合任何POSIX文件系统以某种方式提供存储资源的弹性功能。尽管我们的第一个原型正在大量开发中,但我们在本文中讨论了GBFS模型,很少有初步但有希望的结果。

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