Asymptotic optimality of shortest path routing algorithms

  • Authors:
  • Eli M. Gafni;Dimitri P. Bertsekas

  • Affiliations:
  • Univ. of California, Los Angeles;Massachusetts Institute of Technology, Cambridge

  • Venue:
  • IEEE Transactions on Information Theory
  • Year:
  • 1987

Quantified Score

Hi-index 754.84

Visualization

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.