DCP:具有胖树拓扑结构的高效分布式数据中心缓存协议

Zhihui Jiang, Zhiming Ding, Xiaofeng Gao, Guihai Chen
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引用次数: 6

摘要

在大数据时代,数据中心主要的流量瓶颈是主机间的通信。此外,冗余包内容确实是瓶颈的主要组成部分。本文提出了一种分布式、高效的缓存共享协议DCP,利用胖树拓扑结构消除数据中心冗余流量。在DCP中,每个交换机都保存数据包缓存,用于消除冗余数据包。提出了一种利用Bloom Filter实现交换机本地缓存与服务器共享的缓存共享机制。此外,我们提出了另一种利用布隆过滤器的技术,以减少交换机和服务器之间共享缓存信息造成的误报率。我们建立了k = 16的Fat-Tree拓扑来评估DCP的性能,仿真结果表明,DCP可以消除40% ~ 60%的冗余数据包,验证了其效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DCP: An efficient and distributed data center cache protocol with Fat-Tree topology
In the big data era, the principal traffic bottleneck in a data center is the communication between hosts. Moreover, the redundant packet contents indeed take a major part of the bottleneck. In this paper, we propose a distributed and efficient cache sharing protocol, named DCP, to eliminate redundant traffic in data center with Fat-Tree topology. In DCP, each switch holds packet caches, which are used for eliminating redundant packets. A cache sharing mechanism using Bloom Filter is also proposed to share local caches of switches with servers. Moreover, we propose another technique leveraging Bloom Filter to reduce false positive ratio caused by sharing cache information between switches and servers. We build up a Fat-Tree topology with k = 16 to evaluate the performance of DCP, and the simulation results show that DCP can eliminate 40% to 60% redundant packets, which validate its efficiency.
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