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Proceedings ArticleDOI

Distributed routing algorithm performance in hostile environments

J.L. Gross, +1 more
- pp 225-229
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TLDR
The authors consider the problem of optimum shortest-path routing in a communications network consisting of multiple nodes and links located in a hostile environment and find the Merlin and Segall algorithm to provide exclusive freedom from packet looping.
Abstract
The authors consider the problem of optimum shortest-path routing in a communications network consisting of multiple nodes and links located in a hostile environment. The robustness of the routing algorithm to node or link failures is of interest here. The type of environment suggests that use of distributed or noncentralized algorithms in which convergence of the network to the shortest-path routing tables is of primary concern. Two distributed routing algorithms (that of L.R. Ford, Jr., and D.R. Fulkerson, Flows in Networks. Princeton, NJ: Princeton Univ. Press, 1962, and that of P.M. Merlin and S. Segall, IEEE Trans. Commun. vol. COM-27, 1280-7, Sept. 1979) are examined in terms of speed and overhead. Computer simulations measure algorithm performance in a simple network and also in a satellite shell network. Both algorithms discussed have advantages and disadvantages, but the Merlin and Segall algorithm is shown to provide exclusive freedom from packet looping. >

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Citations
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Patent

Method of routing and bundling demands with low utilization in a telecommunications network

TL;DR: In this paper, the authors proposed a method of rerouting lower multiplex level remaining demands through the network to reduce the total number of higher multiple-x level links in the network.
Proceedings ArticleDOI

Satlink v2.5: an interactive, user-friendly computer workstation tool for satellite network evaluation

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References
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Book

Data networks

TL;DR: Undergraduate and graduate classes in computer networks and wireless communications; undergraduate classes in discrete mathematics, data structures, operating systems and programming languages.
Book

Flows in networks

TL;DR: Ford and Fulkerson as mentioned in this paper set the foundation for the study of network flow problems and developed powerful computational tools for solving and analyzing network flow models, and also furthered the understanding of linear programming.
Journal ArticleDOI

Flows in Networks.

TL;DR: The techniques presented by Ford and Fulkerson spurred the development of powerful computational tools for solving and analyzing network flow models, and also furthered the understanding of linear programming.
Journal ArticleDOI

A Minimum Delay Routing Algorithm Using Distributed Computation

TL;DR: A new global convergence theorem for noncontinuous iteration algorithms is developed that converges, with successive updates of the routing tables, to the minimum average delay over all routing assignments.
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