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D. Anthony Dunn

dblp:138/6768 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Routing and switching · 56% Network management and operations · 28% Optical networks · 17%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Routing and switching › path computation
k shortest path
0.011994
Comparison of k-shortest paths and maximum flow routing for network facility restoration · IEEE J. Sel. Areas Commun. 1994
Network management and operations
network restoration
0.011994
Comparison of k-shortest paths and maximum flow routing for network facility restoration · IEEE J. Sel. Areas Commun. 1994
Routing and switching
routing algorithms
0.011994
Comparison of k-shortest paths and maximum flow routing for network facility restoration · IEEE J. Sel. Areas Commun. 1994
Optical networks
transport network
0.011994
Comparison of k-shortest paths and maximum flow routing for network facility restoration · IEEE J. Sel. Areas Commun. 1994
Optical networks
wavelength-division multiplexing
0.011994
Comparison of k-shortest paths and maximum flow routing for network facility restoration · IEEE J. Sel. Areas Commun. 1994
YearPublicationVenuePosition
1994 Comparison of k-shortest paths and maximum flow routing for network facility restoration
abstract
In the development of technologies for span failure restoration, a question arises about the restoration rerouting characteristics to be specified. In theory, maximal rerouting capacity is obtained with a maximum flow (Max Flow) criterion. However, rerouting that realizes the k-successively shortest link disjoint paths (KSP) may be faster, easier, and, in distributed implementation, more robust than a distributed counterpart for Max Flow. The issue is, therefore, what the restoration capacity penalty is if KSP is used instead of Max Flow. To explore this tradeoff, the authors present a comparative study of the effectiveness of KSP versus Max Flow as an alternative rerouting criteria in the context of transport network span restoration. The comparison applies to both centrally controlled and distributed restoration systems. Study methods include exhaustive span failure experiments on a range of network models, and parametric and analytical investigations for insight into the factors resulting in KSP versus Max Flow differences. The main finding is that KSP restoration capacity is more than 99.9% of that from Max Flow in typical network models. The hypothesis is made that a generalized "trap" topology is responsible for all KSP-Max Flow capacity differences. The hypothesis is tested experimentally and used to develop analytical bounds which agree well with observed results. These findings and data are relevant to standards makers and equipment developers in specifying and engineering future restorable networks.>
D. Anthony Dunn, Wayne D. Grover, Mike H. MacGregor
IEEE J. Sel. Areas Commun.1