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arXiv · 1712.09158

Matching model of flow table for networked big data

Yiheng Su·Ting Peng·Xiaoxun Zhong·Lianming Zhang
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Abstract

Networking for big data has to be intelligent because it will adjust data transmission requirements adaptively during data splitting and merging. Software-defined networking (SDN) provides a workable and practical paradigm for designing more efficient and flexible networks. Matching strategy in the flow table of SDN switches is most crucial. In this paper, we use a classification approach to analyze the structure of packets based on the tuple-space lookup mechanism, and propose a matching model of the flow table in SDN switches by classifying packets based on a set of fields, which is called an F-OpenFlow. The experiment results show that the proposed F-OpenFlow effectively improves the utilization rate and matching efficiency of the flow table in SDN switches for networked big data.

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Yiheng Su, Ting Peng, Xiaoxun Zhong, Lianming Zhang. 2017-12-26. Matching model of flow table for networked big data. https://doi.org/10.1007/978-981-13-6834-9_5

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