Efficient load balancing and multicasting for uncertain-source SDN: Real-time link-cost monitoring

Thabo Semong, Kun Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Software-Defined Networking (SDN) is the next generation network architecture with a new approach to design, build and manage computer networks. Multicasting is a way of transmitting the same content to different destinations. In this paper, we propose an efficient load balancing and multicasting scheme for uncertain-source SDN, using current link cost monitoring. We consider the balance of bandwidth utilization, tree building, and the process of uncertain-source selection. We name this scheme RTLMUS (Real-Time Link Monitoring Uncertain-Source). We then ensure that each destination node connect to just one potential source node. Simulation results demonstrate that our algorithm can improve the network bandwidth utilization and successfully select the multicast source node from the set of potential uncertain-sources.

Original languageEnglish
Title of host publicationSoftware Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018
EditorsRadek Silhavy
PublisherSpringer Verlag
Pages178-187
Number of pages10
Volume763
ISBN (Electronic)9783319911861
ISBN (Print)9783319911854
DOIs
Publication statusPublished - 2019
Event7th Computer Science On-line Conference, CSOC 2018 - Vsetin, Czech Republic
Duration: Apr 1 2018Apr 1 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume763
ISSN (Print)2194-5357

Conference

Conference7th Computer Science On-line Conference, CSOC 2018
CountryCzech Republic
CityVsetin
Period4/1/184/1/18

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Semong, T., & Xie, K. (2019). Efficient load balancing and multicasting for uncertain-source SDN: Real-time link-cost monitoring. In R. Silhavy (Ed.), Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018 (Vol. 763, pp. 178-187). (Advances in Intelligent Systems and Computing; Vol. 763). Springer Verlag. https://doi.org/10.1007/978-3-319-91186-1_19