TY - GEN
T1 - Efficient load balancing and multicasting for uncertain-source SDN
T2 - 7th Computer Science On-line Conference, CSOC 2018
AU - Semong, Thabo
AU - Xie, Kun
N1 - Publisher Copyright:
© 2019, Springer International Publishing AG, part of Springer Nature.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85047961260&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-91186-1_19
DO - 10.1007/978-3-319-91186-1_19
M3 - Conference contribution
AN - SCOPUS:85047961260
SN - 9783319911854
VL - 763
T3 - Advances in Intelligent Systems and Computing
SP - 178
EP - 187
BT - Software Engineering and Algorithms in Intelligent Systems - Proceedings of 7th Computer Science On-line Conference 2018
A2 - Silhavy, Radek
PB - Springer Verlag
Y2 - 1 April 2018 through 1 April 2018
ER -