Title
Scalable Steiner Tree for Multicast Communications in Software-Defined Networking.
Abstract
Software-Defined Networking (SDN) enables flexible network resource allocations for traffic engineering, but at the same time the scalability problem becomes more serious since traffic is more difficult to be aggregated. Those crucial issues in SDN have been studied for unicast but have not been explored for multicast traffic, and addressing those issues for multicast is more challenging since the identities and the number of members in a multicast group can be arbitrary. In this paper, therefore, we propose a new multicast tree for SDN, named Branch-aware Steiner Tree (BST). The BST problem is difficult since it needs to jointly minimize the numbers of the edges and the branch nodes in a tree, and we prove that it is NP-Hard and inapproximable within $k$, which denotes the number of group members. We further design an approximation algorithm, called Branch Aware Edge Reduction Algorithm (BAERA), to solve the problem. Simulation results demonstrate that the trees obtained by BAERA are more bandwidth-efficient and scalable than the shortest-path trees and traditional Steiner trees. Most importantly, BAERA is computation-efficient to be deployed in SDN since it can generate a tree on massive networks in small time.
Year
Venue
Field
2014
CoRR
Source-specific multicast,Approximation algorithm,Computer science,Steiner tree problem,Xcast,Computer network,Pragmatic General Multicast,Unicast,Multicast,Software-defined networking,Distributed computing
DocType
Volume
Citations 
Journal
abs/1404.3454
8
PageRank 
References 
Authors
0.52
12
4
Name
Order
Citations
PageRank
Liang-Hao Huang1855.32
Hui-Ju Hung2484.29
Chih-chung Lin31278.29
De-Nian Yang458666.66