Reliable Multicast Routing for Software-Defined Networks

被引:0
|
作者
Shen, Shan-Hsiang [1 ]
Huang, Liang-Hao [1 ]
Yang, De-Nian [1 ]
Chen, Wen-Tsuen [1 ,2 ]
机构
[1] Acad Sinica, Inst Informat Sci, Taipei, Taiwan
[2] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 30043, Taiwan
关键词
SDN; multicast; traffic engineering; reliable transmissions;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Current traffic engineering in SDN mostly focuses on unicast. By contrast, compared with individual unicast, multicast can effectively reduce network resources consumption to serve multiple clients jointly. Since many important applications require reliable transmissions, it is envisaged that reliable multicast plays a crucial role when an SDN operator plans to provide multicast services. However, the shortest-path tree (SPT) adopted in current Internet is not bandwidth-efficient, while the Steiner tree (ST) in Graph Theory is not designed to support reliable transmissions since the selection of recovery nodes is not examined. In this paper, therefore, we propose a new reliable multicast tree for SDN, named Recover-aware Steiner Tree (RST). The goal of RST is to minimize both tree and recovery costs, while finding an RST is very challenging. We prove that the RST problem is NP Hard and inapproximable within k, which is the number of destination nodes. Thus, we design an approximate algorithm, called Recover Aware Edge Reduction Algorithm (RAERA), to solve the problem. The simulation results on real networks and large synthetic networks, together with the experiment on our SDN testbed with real YouTube traffic, all manifest that RST outperforms both SPT and ST. Also, the implementation of RAERA in SDN controllers shows that an RST can be returned within a few seconds and thereby is practical for SDN networks.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] The reliable routing for software-defined vehicular networks towards beyond 5G
    Yaoguang Lu
    Xingwei Wang
    Bo Yi
    Min Huang
    Peer-to-Peer Networking and Applications, 2022, 15 : 134 - 148
  • [22] The reliable routing for software-defined vehicular networks towards beyond 5G
    Lu, Yaoguang
    Wang, Xingwei
    Yi, Bo
    Huang, Min
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2022, 15 (01) : 134 - 148
  • [23] Update Consistency in Software-defined Networking based Multicast Networks
    Kohler, Thomas
    Duerr, Frank
    Rothermel, Kurt
    2015 IEEE CONFERENCE ON NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE DEFINED NETWORK (NFV-SDN), 2015, : 177 - 183
  • [24] Scalable and Bandwidth-Efficient Multicast for Software-Defined Networks
    Huang, Liang-Hao
    Hung, Hui-Ju
    Lin, Chih-Chung
    Yang, De-Nian
    2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), 2014, : 1890 - 1896
  • [25] A Novel Method for Routing Optimization in Software-Defined Networks
    Alkhalaf, Salem
    Alturise, Fahad
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 73 (03): : 6393 - 6405
  • [26] An Inter-AS Routing Component for Software-Defined Networks
    Bennesby, Ricardo
    Fonseca, Paulo
    Mota, Edjard
    Passito, Alexandre
    2012 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (NOMS), 2012, : 138 - 145
  • [27] NeuRoute: Predictive Dynamic Routing for Software-Defined Networks
    Azzouni, Abdelhadi
    Boutaba, Raouf
    Pujolle, Guy
    2017 13TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM), 2017,
  • [28] A Self-Routing Technique for Software-Defined Networks
    Almohaimeed, Abdulrahman
    Abu Asaduzzaman
    2019 IEEE SOUTHEASTCON, 2019,
  • [29] Cognitive Routing in Software-Defined Underwater Acoustic Networks
    Ghafoor, Huma
    Koo, Insoo
    APPLIED SCIENCES-BASEL, 2017, 7 (12):
  • [30] Development of an Adaptive Routing Mechanism in Software-Defined Networks
    Noskov, A. N.
    Manov, I. A.
    AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2016, 50 (07) : 520 - 526