An Optimal Scheduling Algorithm for an Agent-Based Multicast Strategy on Irregular Networks

  • Yi-Fang Lin
  • Zhe-Hao Kang
  • Pangfeng Liu
  • Jan-Jan Wu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3947)


This paper describes an agent-based approach for scheduling multiple multicast on switch-based networks with irregular topologies. Our approach assigns an agent to each subtree of switches such that the agents can exchange information efficiently and independently. The entire multicast problem is then recursively solved with each agent sending message to those switches that it is responsible for. In this way, communication is localized by the assignment of agents to subtrees. This idea can be easily generalized to multiple multicast since the order of message passing among agents can be interleaved for different multicasts. The key to the performance of this agent-based approach is the message-passing scheduling between agents and the destination processors. We propose an optimal scheduling algorithm, called ForwardInSwitch to solve this problem.

We conduct experiments to demonstrate the efficiency of our approach by comparing the results with SPCCO, a highly efficient multicast algorithm. We found that SPCCO suffers link contention when the number of simultaneous multiple multicast becomes large. On the other hand, our agent-based approach achieves better performance in large cases.


Optimal Schedule Local Node Message Length Remote Node Cross Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yi-Fang Lin
    • 1
    • 2
  • Zhe-Hao Kang
    • 1
  • Pangfeng Liu
    • 1
  • Jan-Jan Wu
    • 2
  1. 1.Department of Computer Science and Information EngineeringNational Taiwan UniversityTaipeiTaiwan
  2. 2.Institute of Information ScienceAcademia SinicaTaipeiTaiwan

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