2014
DOI: 10.1007/978-3-319-05401-8_18
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Efficient Routing in Data Center with Underlying Cayley Graph

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Cited by 12 publications
(11 citation statements)
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“…The forwarding process in topologies embedded into the WMS of their underlying CG is performed by using Algorithm 3, which improves the temporal complexity with respect to Algorithm 2 and the forwarding technique proposed in [15] and [34]. Let u and v be node labels of a source and a destination nodes.…”
Section: Greedy Forwarding Algorithmsmentioning
confidence: 99%
“…The forwarding process in topologies embedded into the WMS of their underlying CG is performed by using Algorithm 3, which improves the temporal complexity with respect to Algorithm 2 and the forwarding technique proposed in [15] and [34]. Let u and v be node labels of a source and a destination nodes.…”
Section: Greedy Forwarding Algorithmsmentioning
confidence: 99%
“…On the right of Figure 5.3 is the transversally Markov slider graph − → S Σ A 3 obtained by removing the de Bruijn transitions α 1 α 2 α 3 ∼ α 2 α 3 α 4 with α 1 = α 4 = 1. The following class of examples of transversally Markov circular slider graphs is inspired by the lamplighters (see below Section 6) and is based on the notion of the Cayley graph of a group (the use of which is currently becoming popular in the theory of interconnection networks, see [RNT12], [CPFV14]). Let us first remind that the (directed) Cayley graph (≡ Cayley topological Markov chain) − − → Cay(G, K) on a group G determined by a subset K ⊂ G has the vertex set G and the arrows g ∼ gk , g ∈ G, k ∈ K .…”
Section: Missing Links and Transversally Markov Circular Slider Graphsmentioning
confidence: 99%
“…In [124], Camelo et al present a low space and time complexity routing algorithm for any interconnection network where its underlying graph is a CG of some finite group. The proposed algorithm is based on the fact that finite groups are Automatics and have a Shortlex Automatic Structure (SAS).…”
Section: ) Emulation Of Existing Topologiesmentioning
confidence: 99%