Scalable multicasting with multiple shared trees in software defined networking

Ying-Dar Lin, Yuan Cheng Lai, Hung Yi Teng*, Chun Chieh Liao, Yi-Chih Kao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

With Software Defined Networking (SDN), IP multicast becomes promising again. For IPTV applications over SDN, existing works would not scale well since they are based on per-source trees. As control-plane in SDN is logically centralized, constructing multiple shared trees is more feasible than that in traditional IP networks. Thus, in this work, we present a locality-aware multicast approach (LAMA) to construct multi-group shared trees in SDN, where each shared tree covers multiple multicast groups. In LAMA, the controller first clusters the multicast sources located in the vicinity into the same multicast cluster. For each multicast cluster, the controller selects the center switch which has the minimum distance to all multicast sources as its rendezvous point (RP) and then constructs a shortest-path multicast tree from the RP to its hosts. Finally, based on the multi-group shared trees, the controller can establish coarse-grained flow entries into on-tree switches to reduce the number of installed flow entries. Emulations on the Ryu controller and the Mininet emulator show that only 2–5 shared trees would suffice. The computation time in the controller using LAMA is around 70 ms, much less than hundreds ms required for per-source trees. Moreover, LAMA only establishes 2300 flow entries, 4% of that with per-source trees in a large topology.

Original languageEnglish
Pages (from-to)125-133
Number of pages9
JournalJournal of Network and Computer Applications
Volume78
DOIs
StatePublished - 15 Jan 2017

Keywords

  • Locality-aware
  • Multicast clustering
  • Multiple shared trees
  • Rendezvous point
  • Software defined networking

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