Data Prediction for Response Flows in Packet Processing Cache
Data Prediction for Response Flows in Packet Processing Cache
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DOI：
10.1145/3195970.3196021
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Hayato Yamaki;H. Nishi;Shinobu Miwa;H. Honda
中科院分区：
文献类型：
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作者：
Hayato Yamaki;H. Nishi;Shinobu Miwa;H. Honda
我们提出了一种减少分组处理缓存(PPC)强制未命中的技术，该技术在很大程度上影响了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)，它不是预取数据，而是推测性地将预测数据存储到PPC中，而不需要额外访问低吞吐量和功耗的内存(即TCAM)。RPC基于互联网通信的请求-响应模型，在相应的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、吞吐量和能效分别提高15.3%、17.9%和17.8%。
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.