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WildMinnie: compression of software-defined networking (SDN) rules with wildcard patterns.

Hamed Khanmirza1

  • 1Department of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran.

Peerj. Computer Science
|May 2, 2022
PubMed
Summary

WildMinnie enhances software-defined networking (SDN) by compressing network rules using common wildcards. This method significantly reduces TCAM usage in datacenters, improving network efficiency.

Keywords:
Data center networksOpenFlowRule compressionSoftware-defined networking

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Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Software-defined networking (SDN) relies on network programmability for rapid service innovation.
  • SDN controllers translate policies into rules stored in TCAM memory for high-speed packet processing.
  • Limited TCAM capacity in switches hinders rule accommodation, especially in large-scale datacenter networks with diverse flows.

Purpose of the Study:

  • To introduce WildMinnie, an novel rule compression technique for SDN.
  • To address the challenge of limited TCAM capacity in SDN-enabled switches.
  • To improve network performance and scalability in datacenters.

Main Methods:

  • WildMinnie aggregates network rules based on common address non-prefix wildcards.
  • Rules are grouped by shared output port numbers before compression.
  • Conflict resolution mechanisms are developed and integrated into the method.

Main Results:

  • WildMinnie effectively reduces the number of network rules by leveraging wildcard similarities.
  • The method demonstrates successful application across various datacenter topologies and traffic patterns.
  • Conflict resolution strategies effectively manage potential rule conflicts arising from aggregation.

Conclusions:

  • WildMinnie offers a superior approach to rule compression in SDN environments.
  • The technique significantly outperforms existing methods, achieving an average improvement of 20%.
  • This advancement is crucial for optimizing TCAM utilization and enhancing datacenter network performance.