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LOP_RE: Range encoding for low power packet classification

机译:LOP_RE:用于低功率分组分类的范围编码

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State-of-the-art hardware based techniques achieve high performance and maximize efficiency of packet classification applications. The predominant example of these, Ternary Content Addressable Memory (TCAM) based packet classification systems can achieve much higher throughput than software-based techniques. However, they suffer from high power consumption due to the highly parallel architecture and lack high-throughput range encoding techniques. In this paper, we propose a novel SRAM-based packet classification architecture with packet-side search key range encoding units, significantly reducing energy consumption without reducing the throughput from that of TCAM and additionally allowing range matching at wire speed. LOP_RE is a flexible packet classification system which can be customized to the requirement of the application. Ten different benchmarks were tested, with results showing that LOP_RE architectures provide high lookup rates and throughput, and consume low power and energy. Compared with a TCAM-based packet classification system (without range encoding) implemented in 65nm CMOS technology, LOP_RE can save 65% energy consumption for the same rule set over these benchmarks.
机译:基于最新硬件的技术可实现高性能,并使数据包分类应用程序的效率最大化。这些基于三元内容可寻址存储器(TCAM)的数据包分类系统的主要示例比基于软件的技术可实现更高的吞吐量。但是,由于高度并行的架构,它们遭受了高功耗的困扰,并且缺乏高吞吐量范围编码技术。在本文中,我们提出了一种新颖的基于SRAM的数据包分类体系结构,具有数据包侧搜索关键字范围编码单元,可显着降低能耗,而不会降低TCAM的吞吐量,并允许线速进行范围匹配。 LOP_RE是一种灵活的数据包分类系统,可以根据应用程序的要求进行定制。测试了十种不同的基准,结果表明LOP_RE架构可提供高查找率和吞吐量,并消耗低功耗和能源。与采用65nm CMOS技术实现的基于TCAM的数据包分类系统(无范围编码)相比,对于这些基准测试中的相同规则集,LOP_RE可以节省65%的能耗。

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