The Analysis of Multicast Tree Construction Scheme Using Reinforcement Learning in SDN 


Vol. 45,  No. 5, pp. 820-827, May  2020
10.7840/kics.2020.45.5.820


PDF Full-Text
  Abstract

Recently, the activation of OTT service (Over The Top) and video platform services, which require rapid transfer of multimedia data such as video traffic, has raised the need for effective multicast transmission. As a result, The research on the method of multicast transmission has been conducted in SDN(Software-Defined Network) having a centralized structure. The generation of multicast tree in SDN has the same complexity as creating a Steiner tree and is a problem with NP-hard. Therefore, in this paper, we introduced a technique for heuristic multicast tree construction and analyzed the performance. In addition, we experiment multicast tree generation on each topology according to the multiple density of topology links and the number of destination nodes. The result of analysis showed that the length of the generated multicast tree increased as the density of topology link increase and the difference of length of the optimal multicast tree decreased as the number of destination of nodes increased.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. Chae, N. Kim, B. Lee, "The Analysis of Multicast Tree Construction Scheme Using Reinforcement Learning in SDN," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 5, pp. 820-827, 2020. DOI: 10.7840/kics.2020.45.5.820.

[ACM Style]

Jihun Chae, Namgi Kim, and Byoung-Dai Lee. 2020. The Analysis of Multicast Tree Construction Scheme Using Reinforcement Learning in SDN. The Journal of Korean Institute of Communications and Information Sciences, 45, 5, (2020), 820-827. DOI: 10.7840/kics.2020.45.5.820.

[KICS Style]

Jihun Chae, Namgi Kim, Byoung-Dai Lee, "The Analysis of Multicast Tree Construction Scheme Using Reinforcement Learning in SDN," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 5, pp. 820-827, 5. 2020. (https://doi.org/10.7840/kics.2020.45.5.820)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880