Robust Traffic Engineering: Game Theoretic Perspective

Abstract

On-line routing algorithms deal with requests as they arrive without assuming any knowledge of the underlying process that generates the streams of requests. By contrast, off-line traffic engineering algorithms assume complete statistical knowledge of the request generating process. This dichotomy, however, oversimplifies many practical situations when some incomplete information on the expected demands is available, and proper utilization of the available information may improve the network performance. This paper proposes a game theoretic framework for robust traffic engineering intended to guard against the worst case scenario with respect to possible uncertainties in the external demands and link loads. The proposed framework can be interpreted as a game of the routing algorithm attempting to optimize the network performance and the adversarial environment attempting to obstruct these efforts by selecting the worst case scenario with respect to the uncertainties. Two different classes of schemes are considered: first, suitable for MPLS implementation, centralized schemes, and, second, suitable for OSPF-OMP implementation, decentralized schemes.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2002
Accession Number
ADA511802

Entities

People

  • Vladimir Marbukh

Organizations

  • National Institute of Standards and Technology

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Bayesian Networks
  • Cooperative Games
  • Electronic Mail
  • Engineering
  • Environment
  • Information Operations
  • Non-Cooperative Games
  • Optimization
  • Probability
  • Probability Distributions
  • Routing Protocols
  • Simulations
  • Standards
  • Uncertainty

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design