2015
DOI: 10.1016/j.tcs.2014.12.023
|View full text |Cite
|
Sign up to set email alerts
|

On the construction of all shortest vertex-disjoint paths in Cayley graphs of abelian groups

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
6
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 25 publications
0
6
0
Order By: Relevance
“…We show that our algorithm for disjoint paths outperforms the topology-agnostic solution [4]. Moreover, we show that for many families of CG used as model of communication networks, our algorithm for K-shortest disjoint paths stays competitive with respect to the algorithms presented in [12,18].…”
Section: Introductionmentioning
confidence: 81%
See 3 more Smart Citations
“…We show that our algorithm for disjoint paths outperforms the topology-agnostic solution [4]. Moreover, we show that for many families of CG used as model of communication networks, our algorithm for K-shortest disjoint paths stays competitive with respect to the algorithms presented in [12,18].…”
Section: Introductionmentioning
confidence: 81%
“…The algorithms proposed in this paper extend the work of [1]. In contrast to the algorithms presented in [12,14,16], our algorithms are topology-agnostic and have no constraints on the size of the computed paths. In addition, we present an algorithm for computing the shortest path avoiding a set of nodes and edges, which is useful in the design of fault-tolerant routing schemes.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Recently, all shortest disjoint paths from one source node/vertex to other (not necessarily distinct) target nodes/ vertices have been constructed in hypercubes [11], tori [9], and the Cayley graphs of abelian groups [10]. In this paper, we study the problem of constructing m disjoint shortest paths from one source node to other m (not necessarily distinct) target nodes in an n-star, where m ≤ n − 1 and n ≥ 3.…”
Section: Introductionmentioning
confidence: 99%