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Management of Quality of Service through Chance-constraints in Multimedia Networks

  • E. A. Medova
  • J. E. Scott
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 49)

Abstract

Recently stochastic programming with recourse has been used in telecommunication models with multiple traffic scenarios to result in large scale linear programmes for network design. In this paper we use large deviation theory to invert chance constraints involving simultaneous quality-of-service blocking probabilities at several network time scale layers to result in node and arc-path incidence formulations of continuous multicommodity network flow problems involving deterministic effective bandwidths of origin-destination stochastic traffic flows in the network. These compact deterministic linear programmes are used in the paper to size network resource capacities, route traffic in a proportionally fair manner, price resources and design peak resource pricing customer tariffs. Our Integrated Network Design System software, which incorporates more network resource and traffic types than are treated here in detail, is also described briefly.

Keywords

Asynchronous Transfer Mode Effective Bandwidth Capacity Allocation Virtual Path Asynchronous Transfer Mode Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • E. A. Medova
    • 1
  • J. E. Scott
    • 1
  1. 1.The Judge Institute of Management StudiesUniversity of CambridgeEngland

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