2016
DOI: 10.1016/j.jpdc.2016.05.001
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Vertex-disjoint paths in DCell networks

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Cited by 40 publications
(4 citation statements)
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“…Wang et al [22] proposed an efficient algorithm for finding a disjoint paths in the node-to-set routing of DCell networks. Subsequently, they studied the Hamiltonian properties of DCell networks and extend it to all generalized DCell Hamiltonian-connected [23], the restricted h-connectivity [24], and vertexdisjoint paths in DCell networks successively [25]. Li et al [6] studied the diagnosability and g-good-neighbor conditional diagnosability of the data center network DCell.…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al [22] proposed an efficient algorithm for finding a disjoint paths in the node-to-set routing of DCell networks. Subsequently, they studied the Hamiltonian properties of DCell networks and extend it to all generalized DCell Hamiltonian-connected [23], the restricted h-connectivity [24], and vertexdisjoint paths in DCell networks successively [25]. Li et al [6] studied the diagnosability and g-good-neighbor conditional diagnosability of the data center network DCell.…”
Section: Introductionmentioning
confidence: 99%
“…Data center network research has become a popular aspect in academia and industry. Scholars have proposed many data center networks, for example, Fat-Tree [3], DCell [4][5][6], BCube [7,8], VL2 [9], CamCube [10], Ficonn [11], FSquare [12], BCDC [13,14], and so on. Because of its desirable features, such as symmetry, small diameter, high fault tolerance, and so on, BCube has become a main data center network.…”
Section: Introductionmentioning
confidence: 99%
“…Let κ(G) be the connectivity of G. From Menger's theorem, there exist k node-disjoint paths between any pair of nodes a and b in G if k ≤ κ(G). The node-disjoint path problem has been studied for many networks, such as alternating group networks [1], balanced hypercubes [2], DCell networks [3], and so on. A set of k node-disjoint paths between a and b is called a k-container, denoted by C(a, b).…”
Section: Introductionmentioning
confidence: 99%