首页> 中文期刊> 《清华大学学报(英文版)》 >Hybrid Routing by Joint Optimization of Per-Flow Routing and Tag-Based Routing in Software-Defined Networks

Hybrid Routing by Joint Optimization of Per-Flow Routing and Tag-Based Routing in Software-Defined Networks

         

摘要

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 Tag-based 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.

著录项

  • 来源
    《清华大学学报(英文版)》 |2018年第4期|440-452|共13页
  • 作者单位

    School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China;

    Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 215123, China;

    School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China;

    Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 215123, China;

    School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China;

    Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 215123, China;

    School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China;

    Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 215123, China;

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