Hybrid routing by joint optimization of per-flow routing and tag-based routing in software-defined networks

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Abstract

In recent years, Software-Defined Networks (SDNs) have become a promising technology to improve network utilization. However, limited flow table size and long deployment delays may result in low network performance in large-scale networks and a poor user experience. While a typical solution to this issue is routing aggregation (i.e., wildcard routing), the aggregation feasibility problem and reduced network performance may be encountered. To address this dilemma, we first design a novel wildcard routing scheme, called the Tag-based Rule Placement Scheme (TRPS). We then formulate a Hybrid Routing by Joint optimization of Per-flow routing and Tagbased routing (HR-JPT) problem, and prove its NP-hardness. An algorithm with a bounded approximation factor is designed for this problem, and the proposed methods are implemented on a Mininet platform. Extensive simulation results show that our methods are efficient for wildcard/hybrid routing. For example, our proposed tag-based wildcard rule placement scheme can reduce the number of required rules by about 65% on average compared with previous wildcard routing methods. Our proposed hybrid routing algorithm can increase network throughput by about 43% compared with existing hybrid routing solutions.

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Zhao, G., Huang, L., Li, Z., & Xu, H. (2018). Hybrid routing by joint optimization of per-flow routing and tag-based routing in software-defined networks. Tsinghua Science and Technology, 23(4), 440–452. https://doi.org/10.26599/TST.2018.9010084

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