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Parallel I/O Scheduling in Multiprogrammed Cluster Computing Systems

机译:多程序集群计算系统中的并行I / O调度

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摘要

In this paper, we address the problem of effective management of parallel I/O in multiprogrammed cluster computing systems by using appropriate I/O scheduling strategies. The performance of I/O devices lags behind the performance of processors and network systems, resulting in I/O becoming the bottleneck in current systems. This gap is expected to increase in the future since I/O performance is limited by physical motion. Therefore, it is imperative that novel techniques for improving I/O performance be developed. Parallel I/O is a promising approach to alleviating this bottleneck. However, very little work exists with respect to scheduling parallel I/O operations explicitly. We propose new I/O scheduling algorithms and evaluate the relative performance of the proposed policies against the most commonly used approaches. Our preliminary results show that the proposed policies outperform current methods and can substantially enhance the performance of real-world scientific applications.
机译:在本文中,我们通过使用适当的I / O调度策略来解决多程序集群计算系统中并行I / O的有效管理问题。 I / O设备的性能落后于处理器和网络系统的性能,导致I / O成为当前系统的瓶颈。由于I / O性能受身体运动的限制,因此预计将来这种差距会增加。因此,迫切需要开发出改善I / O性能的新技术。并行I / O是缓解此瓶颈的一种有前途的方法。但是,关于显式调度并行I / O操作的工作很少。我们提出了新的I / O调度算法,并针对最常用的方法评估了所提出策略的相对性能。我们的初步结果表明,拟议的政策优于现有方法,可以大大提高实际科学应用的性能。

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