Photonic Network Communications

, Volume 26, Issue 2–3, pp 95–102 | Cite as

An efficient dynamic multicast traffic-grooming algorithm for WDM networks

  • Huan-Lin Liu
  • Xiang Xue
  • Yong Chen
  • Qiang Fang
  • Sheng Huang


With the growth of multi-granularity multicast applications, there comes into being a huge gap between the bandwidth of a wavelength provided and a multicast traffic required in the wavelength division multiplexing (WDM) networks. The dynamic multicast traffic-grooming is an effective way for WDM networks to improve the wavelength utilization and decrease the traffic blocking probability. A novel switching node architecture with the multicast switching matrix and traffic-grooming fabric is studied in the paper. Then, an efficient dynamic multicast traffic-grooming algorithm is proposed for the architecture. According to the ratio of network available grooming port number to network transceiver number, the proposed algorithm estimates whether the traffic-grooming port is a scarce resource for input traffic and chooses the appropriate grooming strategy. If the traffic-grooming port is scarce, the minimized use grooming port strategy is designed for the coming traffic. On the contrary, the minimized use node transceiver strategy is applied for the coming traffic. Simulation results show that the proposed algorithm can groom traffic efficiently with low blocking probability and high network throughput constraint by limiting number of node transceivers and grooming ports.


WDM networks Optical multicast Dynamic traffic-grooming Grooming port Blocking probability Network throughput 



This research was funded by the national nature science foundation of China (NSFC 61275077, 61071117), by the 973 national program on key basic research project of China (2012CB315803), and by the basic and frontier research program of Chongqing (CSTC 2013jcyjA40052).


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Huan-Lin Liu
    • 1
  • Xiang Xue
    • 1
  • Yong Chen
    • 1
  • Qiang Fang
    • 1
  • Sheng Huang
    • 1
  1. 1.Chongqing Key Laboratory of Signal and Information Processing, Key lab of Optical Fiber Communication Technology, School of AutomationChongqing University of Posts and Telecom (CQUPT)ChongqingChina

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