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Reliable Parallel File System with Parity Cache Table Support

机译:具有奇偶校验缓存表支持的可靠并行文件系统

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Providing data availability in a high performance computing environment is very important, especially in this data-intensive world. Most clusters either equip with RAID (Redundant Array of Independent Disks) devices or use redundant nodes to protect data from loss. However, neither of these can really solve the reliability problem incurred in a striped file system. Striping provides an efficient way to increase I/O throughput both in the distributed and parallel paradigms. But it also reduces the overall reliability of a disk system by N fold, where N is the number of independent disks in the system. Parallel Virtual File System (PVFS) is an open source parallel file system which has been widely used in the Linux environment. Its striping structure is good for performance but provides no fault tolerance. We implement Reliable Parallel File System (RPFS) based on PVFS but with reliability support. Our quantitative analysis shows that MTTF (Mean Time To Failure) of our RPFS is better than that of PVFS. Besides, we propose a parity cache table (PCT) to alleviate the penalty of parity updating. The evaluation of our RPFS shows that its read performance is almost the same as that of PVFS (2% to 13% degradation). As to the write performance, 28% to 45% improvement can be achieved depending on the behavior of the operations.
机译:在高性能计算环境中提供数据可用性非常重要,尤其是在这个数据密集的世界中。大多数群集都配备有RAID(独立磁盘冗余阵列)设备,或者使用冗余节点来防止数据丢失。但是,这些方法都无法真正解决条带化文件系统中引起的可靠性问题。分条提供了一种有效的方式来提高分布式和并行范例中的I / O吞吐量。但这也会使磁盘系统的整体可靠性降低N倍,其中N是系统中独立磁盘的数量。并行虚拟文件系统(PVFS)是一种开源并行文件系统,已在Linux环境中广泛使用。它的条带化结构可提高性能,但不能提供容错功能。我们基于PVFS实现可靠的并行文件系统(RPFS),但具有可靠性支持。我们的定量分析表明,我们的RPFS的MTTF(平均失效时间)比PVFS更好。此外,我们提出了一种奇偶校验缓存表(PCT)来减轻奇偶校验更新的代价。我们对RPFS的评估表明,其读取性能几乎与PVFS相同(降级2%至13%)。至于写入性能,取决于操作的行为,可以实现28%到45%的改善。

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