FastTSS: Accelerating tuple space search for fast packet classification in virtual SDN switches

IF 7.7 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Bing Xiong , Jing Wu , Guanglong Hu , Jin Zhang , Baokang Zhao , Keqin Li
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引用次数: 0

Abstract

The increasing tendency of network virtualization gives rise to extensive deployments of virtual switches in various virtualized platforms. However, virtual switches are encountered with severe performance bottlenecks with regards to their packet classification especially in the paradigm of Software-Defined Networking (SDN). This paper is thus motivated to design a fast packet classification scheme based on accelerated tuple space search, named as FastTSS, for virtual SDN switches. In particular, we devise a well-exploited cache with active exact flows to directly retrieve respective flow entries for most incoming packets, in virtue of the temporal locality of network traffic. Furthermore, we propose a novel hash algorithm to resolve the hash collisions of the cache, by providing three candidate locations for each inserted flow and making room for conflicting flow through kicking operation. As for the case of cache miss, we utilize the spatial locality of packet traffic to accelerate tuple space search, by dynamically sorting all tuples in terms of their reference frequencies and load factors. Eventually, we evaluate our designed packet classification scheme with physical network traffic traces by experiments. Extensive experimental results indicate that our designed FastTSS scheme outperforms the state-of-the-art ones with stable cache hit rates around 85% and the speedup of average search length up to 2.3, significantly promoting the packet classification performance of virtual SDN switches.
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来源期刊
Journal of Network and Computer Applications
Journal of Network and Computer Applications 工程技术-计算机:跨学科应用
CiteScore
21.50
自引率
3.40%
发文量
142
审稿时长
37 days
期刊介绍: The Journal of Network and Computer Applications welcomes research contributions, surveys, and notes in all areas relating to computer networks and applications thereof. Sample topics include new design techniques, interesting or novel applications, components or standards; computer networks with tools such as WWW; emerging standards for internet protocols; Wireless networks; Mobile Computing; emerging computing models such as cloud computing, grid computing; applications of networked systems for remote collaboration and telemedicine, etc. The journal is abstracted and indexed in Scopus, Engineering Index, Web of Science, Science Citation Index Expanded and INSPEC.
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