远程I/O:对远程存储的快速访问

Ian T Foster, D. Kohr, R. Krishnaiyer, Jace Mogill
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引用次数: 94

摘要

随着高速网络使分布式资源的使用变得更加容易,应用程序和它们的数据不同时存在的情况变得越来越普遍。传统上,用户通过手动向远程计算机传输数据来解决这个问题。我们主张采用一种新的远程I/O范式,在这种范式中,程序使用熟悉的并行I/O接口访问远程文件系统。除了简化远程执行之外,远程I/O还可以通过重叠计算和数据传输或减少通信需求来提高性能。然而,远程I/O也在可移植性、性能和与分布式计算系统的集成方面引入了新的技术挑战。我们提出了旨在解决这些挑战的技术,并描述了我们开发的名为RIO的远程I/O库,以评估这些技术的有效性。RIO通过采用准标准的MPI-IO接口和在ADIO抽象I/O设备体系结构中定义RIO设备和RIO服务器来解决可移植性问题。它通过提供传统的I/O优化(如异步操作)和通过实现技术(如缓冲和消息转发)来降低负载通信开销,从而解决性能问题。RIO使用Nexus通信库来访问由Globus广域计算工具包提供的配置和安全机制。微基准测试和应用程序实验表明,我们的技术在大多数情况下都实现了可接受的性能,并且可以缩短周转时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote I/O: fast access to distant storage
As high-speed networks make it easier to use distributed resources, it becomes increasingly common that applications and their data are not colocated. Users have traditionally addressed this problem by manually staging data to and from remote computers. We argue instead for a new remote I/O paradigm in which programs use familiar parallel I/O interfaces to access remote file systems. In addition to simplifying remote execution, remote I/O can improve performance relative to staging by overlapping computation and data transfer or by reducing communication requirements. However, remote I/O also introduces new technical challenges in the areas of portability, performance, and integration with distributed computing systems. We propose techniques designed to address these challenges and describe a remote I/O library called RIO that we have developed to evaluate the effectiveness of these techniques. RIO addresses issues of portability by adopting the quasi-standard MPI-IO interface and by defining a RIO device and RIO server within the ADIO abstract I/O device architecture. It addresses performance issues by providing traditional I/O optimizations such as asynchronous operations and through implementation techniques such as buffering and message forwarding to off load communication overheads. RIO uses the Nexus communication library to obtain access to configuration and security mechanisms provided by the Globus wide area computing tool kit. Microbenchmarks and application experiments demonstrate that our techniques achieve acceptable performance in most situations and can improve turnaround time relative to staging.
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