Parsing application layer protocol with commodity hardware for SDN

Hao Li, Chengchen Hu, Junkai Hong, Xiyu Chen, Yuming Jiang
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引用次数: 9

Abstract

The de facto implementation of Software Defined Networking (SDN), i.e., OpenFlow, only parses L2-L4 headers, which limits the use of SDN to employ control intelligence in application layer. In this paper, we advocate content parsing to empower SDN with finer grained control ability over traffic. Specifically, we propose a scalable content parser, called COPY, to identify and parse application layer protocols. COPY creates a distinguishable counting context free grammar (DCCFG) to specify the protocol's semantics in application layer, and translates multiple DCCFGs into one distinguishable counting automaton (DCA). DCA is generated without semantic loss from the single DCCFG, and thus provides accurate and scalable parsing ability. Our experiments show that COPY precisely identifies every packet in a labeled trace. When comparing with other six approaches on the real traces, COPY performs 4.2Gb/s and 24.7Gb/s with single- and eight-thread models, respectively, which improves 20%-860% than others, and consumes acceptable offline overhead in time and space.
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用商用硬件解析SDN的应用层协议
软件定义网络(SDN)的实际实现,即OpenFlow,只解析L2-L4报头,这限制了SDN在应用层使用控制智能。在本文中,我们提倡内容解析以赋予SDN更细粒度的流量控制能力。具体来说,我们提出了一个可扩展的内容解析器,称为COPY,用于识别和解析应用层协议。COPY创建一个可区分计数上下文无关语法(DCCFG)来指定应用层协议的语义,并将多个DCCFG转换为一个可区分计数自动机(DCA)。DCA的生成没有单个DCCFG的语义损失,因此提供了准确和可扩展的解析能力。我们的实验表明,COPY可以精确地识别标记路径中的每个数据包。与其他六种方法在实际路径上进行比较,COPY在单线程和八线程模型下的性能分别为4.2Gb/s和24.7Gb/s,比其他方法提高了20%-860%,并且在时间和空间上消耗了可接受的离线开销。
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