Systems Support for High Performance I/O on Shared Storage Clusters

传统的I/O解决方案试图通过RAID或并行机/超级计算机来提供硬件和软件并行性，然而，与这些环境的成本、可扩展性和/或可访问性相关的问题使得它们对广泛使用没有吸引力。这项研究解决了高性能I/O支持的这一重要缺陷，提出了一个共享的存储网络，使用现成的工作站，磁盘和网络的集群。建议的研究超越了当前的国家的最先进的I/O支持集群和检查有关的I/O软件集群，其中包括application-directed，编译器导向，和运行时系统导向的优化频谱。这些优化对于减少/隐藏I/O层次结构的不同级别的延迟至关重要，这将有助于加快I/O密集型应用程序的集群部署。

Conventional solutions for I/O have attempted to provide hardwareand software parallelism via RAIDs or parallel machines/supercomputers.However, the problems associated with cost, scalability, and/or accessibility of these environments make them unattractive for widespread usage. This research addresses this importantdeficiency in high-performance I/O support, by proposing a shared storagesystem using an off-the-shelf cluster of workstations, disks, andnetworks. The proposed research goes beyond current state-of-the-art in I/O support for clusters and examines a broad spectrum ofissues related to I/O software on clusters, that includeapplication-directed, compiler-directed, and runtime system-directed optimizations. These optimizations are crucial to reduce/hide the latencies to different levels of the I/O hierarchy which will help accelerate the deployment of clusters for I/O-intensive applications.