2000
DOI: 10.1006/jpdc.2000.1632
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An Efficient Algorithm for the k-Pairwise Disjoint Paths Problem in Hypercubes

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Cited by 40 publications
(5 citation statements)
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“…Besides, disjoint paths have applications in multipath routing (such as Rabin's information dispersal algorithm [23]), fault tolerance (see [3,8]), and communication protocols (see [12]). Disjoint paths in a variety of networks can be found in the literature [6,9,12,14,24]. Among them, one-to-one disjoint paths are also named containers, which we formally define in the next section.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, disjoint paths have applications in multipath routing (such as Rabin's information dispersal algorithm [23]), fault tolerance (see [3,8]), and communication protocols (see [12]). Disjoint paths in a variety of networks can be found in the literature [6,9,12,14,24]. Among them, one-to-one disjoint paths are also named containers, which we formally define in the next section.…”
Section: Introductionmentioning
confidence: 99%
“…As for different topologies, Gu and Peng described a pairwise disjoint-path routing algorithm in a hypercube [ 21 ] and in a star-graph [ 22 ]. Bossard and Kaneko solved the same problem in perfect hierarchical hypercubes [ 23 ], as did Sawada et al in pancake graphs [ 24 ], and Park focused on restricted hypercube-like graphs [ 25 ].…”
Section: Introductionmentioning
confidence: 99%
“…A comparison between BSNs and OTIS networks is shown in Table 1. One of the unsolved issues concerning BSNs is the node-to-node disjoint paths problem: for a pair of nodes s and d in a k-connected graph G=〈V,E〉, to find k paths between s and d that are node-disjoint except for s and d. Finding node-disjoint paths in interconnection networks, as one of the fundamental issues in design and implementation of parallel and distributed computing systems, are useful in speeding up the transfer of large amounts of data between nodes and in providing alternative routes in cases of node or link failures [2,5,6]. In general, the problem can be solved by using the maximum flow technique in polynomial time of the number of nodes of the graph.…”
Section: Introductionmentioning
confidence: 99%