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DCP: An efficient and distributed data center cache protocol with Fat-Tree topology

机译:DCP:具有Fat-Tree拓扑的高效分布式数据中心缓存协议

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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.
机译:在大数据时代,数据中心的主要流量瓶颈是主机之间的通信。而且,冗余分组内容确实占据了瓶颈的主要部分。在本文中,我们提出了一种分布式高效的缓存共享协议,称为DCP,以消除采用Fat-Tree拓扑的数据中心中的冗余流量。在DCP中,每个交换机都具有数据包缓存,用于消除冗余数据包。还提出了使用布隆过滤器的缓存共享机制,以与服务器共享交换机的本地缓存。此外,我们提出了另一种利用布隆过滤器的技术,以减少由于在交换机和服务器之间共享缓存信息而导致的误报率。我们建立了一个k = 16的胖树拓扑来评估DCP的性能,仿真结果表明DCP可以消除40%到60%的冗余数据包,从而验证其效率。

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