Frontiers of Computer Science

, Volume 13, Issue 2, pp 413–425 | Cite as

Increasing multicast transmission rate with localized multipath in software-defined networks

  • Siyuan Tang
  • Bei HuaEmail author
Research Article


Network layer multicast is a highly efficient one-to-many transmission mode. Data rates supported by different group members may differ if these members are located in different network environments. Currently there are roughly two types of methods solving the problem, one is limiting the data rate so that every group member can sustain transmissions, and the other is building multiple trees to increase the provision of network bandwidth. The former is inefficient in bandwidth usage, and the latter adds too many states in the network, which is a serious problem in Software-Defined Networks. In this paper, we propose to build localized extra path(s) for each bottleneck link in the tree. By providing extra bandwidth to reinforce the bottleneck links, the overall data rate is increased. As extra paths are only built in small areas around the bottleneck links, the number of states added in the network is restrained to be as small as possible. Experiments on Mininet verify the effectiveness of our solution.


Software-defined networking network layer multicast localized multipath 


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This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA06011201), and Jiangsu Future Networks Innovation Institute for Prospective Research Project on Future Networks (BY2013095).

Supplementary material

11704_2017_6415_MOESM1_ESM.ppt (254 kb)
Supplementary material, approximately 253 KB.


  1. 1.
    Barán B, Fabregat R, Donoso Y, Solano F, Marzo J. Generalized multiobjective multitree model. WSEAS Journal, 2004Google Scholar
  2. 2.
    Rückert J, Blendin J, Hark R, Hausheer D. DYNSDM: dynamic and flexible software-defined multicast for ISP environments. In: Proceedings of the 11th International Conference on Network and Service Management. 2015, 117–125Google Scholar
  3. 3.
    Tang S, Hua B, Wang D. Realizing video streaming multicast over SDN. In: Proceedings of the 9th International Conference on Communications and Networking in China. 2014Google Scholar
  4. 4.
    Jiang T, Ammar M, Zegura E W. On the use of destination set grouping to improve inter-receiver fairness for multicast ABR sessions. In: Proceedings of IEEE INFOCOM. 2000Google Scholar
  5. 5.
    Yang Y R, Kim M S, Lam S S. Optimal partitioning of multicast receivers. In: Proceedings of IEEE International Conference on Network Protocols. 2000Google Scholar
  6. 6.
    McCanne S, Jacobson V, Vetterli M. Receiver-driven layered multicast. ACM SIGCOMM Computer Communication Review, 1996, 26(4): 117–130CrossRefGoogle Scholar
  7. 7.
    Shacham N. Multipoint communication by hierarchically encoded data. In: Proceedings of the 11th Annual Joint Conference of the IEEE Computer and Communications Societies. 1992, 2107–2114Google Scholar
  8. 8.
    Barán B, Fabregat Gesa R, DonosoMeisel Y, Solano Donado F, Marzoi Lázaro J. Generalized multiobjective multitree model solution using MOEA. In: Proceedings of the 6th International Conference on Wseas International Conference on Evolutionary Computing. 2005, 263–268Google Scholar
  9. 9.
    Nagata A, Tsukiji Y, Tsuru M. Delivering A File by Multipath-Multicast on OpenFlow networks. In: Proceedings of the 5th International Conference on Intelligent Networking and Collaborative Systems. 2013, 835–840Google Scholar

Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyUniversity of Science and Technology of China (USTC)HefeiChina
  2. 2.Suzhou Institute for Advanced StudyUSTCSuzhouChina

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