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Flow Characteristic-Aware Cache Replacement Policy for Packet Processing Cache

机译:用于数据包处理缓存的流特性感知缓存替换策略

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The increase in internet traffic amount becomes a serious problem for routers from the aspects of the packet processing throughput and the power consumption. Packet processing cache (PPC) is a promising approach to meet the requirements. PPC can reduce the number of accesses to ternary content addressable memory (TCAM), which accounts for a large percentage of the power consumption of a router, by storing the TCAM lookup results into a cache memory and reusing them. For PPC, the cache miss rate has significant impact on the throughput and the power consumption. Thus, reducing the number of cache misses is a main concern for PPC. In this study, we first analyze the elephant flows and mice flows in networks to reveal the packet behavior in PPC and propose a novel cache replacement policy based on the analysis. Hit dominance cache (HDC), proposed in this paper, gives high priority to the elephant flows and evicts the mice flows rapidly. Our simulation showed HDC can reduce the number of cache misses in PPC by up to 29.1% compared to conventional 4-way LRU PPC. In addition, we estimated the hardware cost of HDC by using Verilog-HDL and showed that it is comparable to those of 4-way LRU though HDC performs as if the cache was composed of 8-way set associative cache.
机译:在互联网流量量的增加成为从包处理吞吐量和功耗方面的路由器的一个严重问题。数据包处理缓存(PPC)是一种很有前途的方法来满足要求。 PPC可以通过存储TCAM查找结果为高速缓冲存储器和重复使用它们减少访问到三态内容可寻址存储器(TCAM),其占了路由器的功率消耗的大百分比的数目。对于PPC,高速缓存未命中率对吞吐量和功耗显著的影响。因此,减少高速缓存未命中的数量是PPC一个主要关注点。在这项研究中,我们首先分析了大象流和小鼠在网络流向揭示PPC包行为,并提出了基于分析的一种新的缓存替换策略。打显性缓存(HDC),本文提出,高度重视对大象流和驱逐老鼠迅速流动。我们的模拟结果显示HDC可高达29.1%,比传统的4路LRU PPC减少PPC高速缓存未命中的数量。另外,我们通过用Verilog-HDL估计HDC的硬件成本,并表明这是媲美4路LRU虽然HDC执行的,就好像缓存组成的8路组相联高速缓存。

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