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Data Prediction for Response Flows in Packet Processing Cache

机译:数据包处理缓存中响应流的数据预测

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We propose a technique to reduce compulsory misses of packet processing cache (PPC), which largely affects both throughput and energy of core routers. Rather than prefetching data, our technique called response prediction cache (RPC) speculatively stores predicted data into PPC without additional access to the low-throughput and power-consuming memory (i.e., TCAM). RPC predicts the data related to a response flow at the arrival of the corresponding request flow, based on the request-response model of internet communications. RPC can improve the cache miss rate, throughput, and energy-efficiency of PPC systems by 15.3%, 17.9%, and 17.8%, respectively.
机译:我们提出了一种减少数据包处理缓存(PPC)的强制丢失的技术,该技术会极大地影响核心路由器的吞吐量和能量。我们的技术称为响应预测缓存(RPC),而不是预取数据,而是将预测数据推测性地存储到PPC中,而无需额外访问低吞吐量和耗电的内存(即TCAM)。 RPC基于Internet通信的请求-响应模型,在相应请求流到达时预测与响应流相关的数据。 RPC可以将PPC系统的缓存未命中率,吞吐量和能源效率分别提高15.3%,17.9%和17.8%。

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