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Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems

机译:基于集群的存储系统中TCP吞吐量折叠的测量与分析

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Cluster-based and iSCSI-based storage systems rely on standard TCP/IP-over-Ethernet for client access to data. Unfortunately, when data is striped over multiple networked storage nodes, a client can experience a TCP throughput collapse that results in much lower read bandwidth than should be provided by the available network links. Conceptually, this problem arises because the client simultaneously reads fragments of a data block from multiple sources that together send enough data to overload the switch buffers on the client's link. This paper analyzes this Incast problem, explores its sensitivity to various system parameters, and examines the effectiveness of alternative TCP- and Ethernet-level strategies in mitigating the TCP throughput collapse.
机译:基于群集和基于iSCSI的存储系统依赖于标准TCP / IP-op-ePthernet进行客户端访问数据。遗憾的是,当数据通过多个联网存储节点划分数据时,客户端可以遇到TCP吞吐量崩溃,从而导致比可用网络链路所提供的读取带宽更低的读取带宽。概念上,出现此问题,因为客户端同时从多个源读取数据块的片段,其中一起发送足够的数据以超载客户端链接上的交换机缓冲区。本文分析了这一本发明的问题,探讨了对各种系统参数的敏感性,并检查了替代TCP和以太网级策略在减轻TCP吞吐量崩溃时的有效性。

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