Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes

Authors

  • Binglin Tao University of Electronic Science and Technology of China
  • Mingyu Xiao University of Electronic Science and Technology of China
  • Jingyang Zhao University of Electronic Science and Technology of China

DOI:

https://doi.org/10.1609/aaai.v34i01.5441

Abstract

Network survivability has drawn certain interest in network optimization. However, the demand for full protection of a network is usually too restrictive. To overcome the limitation of geographical environments and to save network resources, we turn to establish backup networks allowing a few common nodes. It comes out the problem of finding k link-disjoint paths between a given pair of source and sink in a network such that the number of common nodes shared by at least two paths is bounded by a constant and the total link weight of all paths is minimized under the above constraints. For the case k = 2, where we have only one backup path, several fast algorithms have been developed in the literature. For the case k > 2, little results are known. In this paper, we first establish the NP-hardness of the problem with general k. Motivated by the situation that each node in a network may have a capability of multicasting, we also study a restricted version with one more requirement that each node can be shared by at most two paths. For the restricted version, we build an ILP model and design a fast algorithm by using the techniques of augmenting paths and splitting nodes. Furthermore, experimental results on synthetic and real networks show that our algorithm is effective in practice.

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Published

2020-04-03

How to Cite

Tao, B., Xiao, M., & Zhao, J. (2020). Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes. Proceedings of the AAAI Conference on Artificial Intelligence, 34(01), 938-945. https://doi.org/10.1609/aaai.v34i01.5441

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Section

AAAI Technical Track: Applications