Asymptotic optimality of shortest path routing algorithms
Eli Gafni, Dimitri P. Bertsekas
Abstract
Eli Gafni, Dimitri P. Bertsekas
Abstract
Many communication networks use adaptive shortest path routing. By this we mean that each network link is periodically assigned a length that depends on its congestion level during the preceding period, and all traffic generated between length updates is routed along a shortest path corresponding to the latest link lengths. We show that in certain situations, typical of networks involving a large number of small users and utilizing virtual circuits, this routing method performs optimally in an asymptotic sense. In other cases, shortest path routing can be far from optimal.
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Many communication networks use adaptive shortest path routing. By this we mean that each network link is periodically assigned a length that depends on its congestion level during the preceding period, and all traffic generated between length updates is routed along a shortest path corresponding to the latest link lengths. We show that in certain situations, typical of networks involving a large number of small users and utilizing virtual circuits, this routing method performs optimally in an asymptotic sense. In other cases, shortest path routing can be far from optimal.
Key concepts: Equal-cost multi-path routing, K shortest path routing, Private Network-to-Network Interface, Shortest path problem, Computer science, Constrained Shortest Path First, Link-state routing protocol, Path vector protocol