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Accelerating Distributed Updates with Asynchronous Ordered Writes in a Parallel File System

机译:通过并行文件系统中的异步有序写入来加速分布式更新

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Ordered writes mechanism is an efficient and widely used way to guarantee the consistency of distributed updates in a parallel file system. To keep the write order, remote commit operations should not be sent out until the local updates are forced to be stable. However, this can block the execution of applications and significantly degrade the overall performance. Thus, the I/O and network latency of commit requests serve non-negligible cost for file updates, especially for large amount of small files. In this paper, we argue that the write order keeping can be handed over from the applications to file systems i.e. the order keeping can be removed from the critical I/O path of applications. We propose the Delayed Commit Protocol that the requests of committing sub-operations are submitted to the commit queue and in the meanwhile the execution flow can be returned back to applications immediately. To reduce the total I/O and network overhead, we use space delegation and adaptive RPC (Remote Procedure Call) compound techniques. Experiments show an up to 2.6x speedup while applying such protocol in a CDN (Content Delivery Network) benchmark. No performance degradation occurs for workloads with large files or conflicted operations.
机译:有序写入机制是一种有效且广泛使用的方式,可确保并行文件系统中分布式更新的一致性。为了保持写入顺序,在强制本地更新稳定之前,不应该发送远程提交操作。但是,这可能会阻止应用程序的执行,并显着降低整体性能。因此,提交请求的I / O和网络延迟为文件更新(尤其是大量的小文件)提供了不可忽略的成本。在本文中,我们认为可以将写入顺序保留从应用程序移交给文件系统,即可以从应用程序的关键I / O路径中删除顺序保留。我们提出了延迟提交协议,将提交子操作的请求提交到提交队列,同时可以将执行流立即返回给应用程序。为了减少总的I / O和网络开销,我们使用空间委派和自适应RPC(远程过程调用)复合技术。实验表明,在CDN(内容交付网络)基准测试中应用此类协议时,其速度提高了2.6倍。具有大文件或冲突操作的工作负载不会导致性能下降。

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