A Probabilistic Approach to Fault-Tolerant Routing Algorithm on Mesh Networks

  • Authors:
  • Gaocai Wang;Taoshen Li;Jianer Chen

  • Affiliations:
  • Guangxi University, Nanning, P. R. China;Guangxi University, Nanning, P. R. China;Texas A&M University, College Station, TX

  • Venue:
  • ICPADS '04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference
  • Year:
  • 2004

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Abstract

In this paper, we propose a novel and efficientfault tolerant routing algorithm for mesh networksbased on the concept of k-submesh without virtualchannels and not sacrifice non-faulty nodes. Ouralgorithm is distributed and local information based.Due to the fact that our algorithm is designed basedon k-submesh structure, we apply probabilistic analysison the fault tolerance of our routing algorithm.Suppose that each node has an independent failureprobability, we derive the probability that our routingalgorithm successfully returns a fault-free routingpath. For example, we formally prove that aslong as the node failure probability is bounded by0.35%, our routing algorithm succeeds in finding afault-free routing path with high probability of 99%on mesh networks with 250000 nodes. Our algorithmruns in liner time and simulation results showthat the length of the routing path constructed by ouralgorithm are very close to the optimal length.