利用数据压缩提高I/O转发吞吐量

Benjamin Welton, D. Kimpe, Jason Cope, C. Patrick, K. Iskra, R. Ross
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引用次数: 65

摘要

虽然网络带宽在稳步增长,但其增长速度远低于CPU性能的相应增长速度。这种趋势拉大了CPU和网络速度之间的差距。在本文中,我们通过利用这一差距来研究I/O性能的改进。我们利用空闲的CPU资源来压缩网络流量,减少通过网络传输的数据量,增加有效的网络带宽。我们在I/O转发可伸缩性层中创建了一组压缩服务。当数据通过网络传输时,这些服务透明地压缩和解压缩数据。我们研究了压缩服务对各种数据集的影响,并在高性能计算集群上进行了实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving I/O Forwarding Throughput with Data Compression
While network bandwidth is steadily increasing, it is doing so at a much slower rate than the corresponding increase in CPU performance. This trend has widened the gap between CPU and network speed. In this paper, we investigate improvements to I/O performance by exploiting this gap. We harness idle CPU resources to compress network traffic, reducing the amount of data transferred over the network and increasing effective network bandwidth. We created a set of compression services within the I/O Forwarding Scalability Layer. These services transparently compress and decompress data as it is transferred over the network. We studied the effect of the compression services on a variety of data sets and conducted experiments on a high-performance computing cluster.
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