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H-SOFT: a heuristic storage space optimisation algorithm for flow table of OpenFlow

机译:H-SOFT:OpenFlow流表的启发式存储空间优化算法

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摘要

OpenFlow has become the key standard and technology for software defined networking, which has been widelyrnadopted in various environments. However, the global deployment of OpenFlow encountered several issues, suchrnas the increasing number of fields and complex structure of flow entries, making the size of flowtable inOpenFlowrnswitches explosively grows, which results in hardware implementation difficulty. To this end, this paper presentsrnthe modelling on the minimisation for storage space of flow table and proposes a Heuristic Storage space Optimisationrnalgorithm for Flow Table (H-SOFT) to solve this optimisation problem. The H-SOFT algorithm degradesrnthe complex and high-dimensional fields of a flow table intomultiple flow tables with simple and low-dimensionalrnfields based on the coexistence and conflict relationships among fields to release the unused storage space due tornblank fields. Extensive simulation experiments demonstrate that the H-SOFT algorithm can effectively reduce thernstorage space of flow table. In particular, with frequent updates on flow entries, the storage space compression raternof flow table is stable and can achieve at ~70%. Moreover, in comparison with the optimal solution, the H-SOFTrnalgorithm can achieve the similar compression rate with much lower execution time.
机译:OpenFlow已成为软件定义网络的关键标准和技术,已在各种环境中广泛采用。然而,OpenFlow的全球部署遇到了几个问题,例如字段数量的增加和流条目的复杂结构,使得OpenFlowrn交换机中流表的规模爆炸性增长,这导致硬件实现困难。为此,本文提出了一种针对流表存储空间最小化的模型,并提出了一种针对流表的启发式存储空间优化算法(H-SOFT)来解决该优化问题。 H-SOFT算法基于字段之间的共存和冲突关系,将流表的复杂和高维字段分解为具有简单维和低维字段的多个流表,以释放由于空白字段造成的未使用存储空间。大量的仿真实验表明,H-SOFT算法可以有效地减少流表的存储空间。特别是,随着流条目的频繁更新,流表的存储空间压缩率是稳定的,可以达到〜70%。此外,与最佳解决方案相比,H-SOFTrn算法可实现相似的压缩率,并且执行时间要短得多。

著录项

  • 来源
    《Concurrency and computation: practice and experience》 |2015年第13期|3497–3509|共1页
  • 作者单位

    Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, China;

    Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, ChinaUniversity of Chinese Academy of Sciences, Beijing, 100049, China;

    Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, China;

    Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    OpenFlow; flow table; storage space optimisation; SDN;

    机译:开放流流量表;优化存储空间;SDN;

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