Information Dynamics Applied to Link-State Routing

Abstract

Information Dynamics Agrawala, 2000 is an information-centric framework that provides a sufficient understanding of the characteristics of information used in systems for better system design and implementation. In this paper, we describe how to improve link-state routing based on this framework. Link-state routing protocols such as OSPF (Open Shortest Path First)Moy, 1991 are currently used in many networks. In link-state routing, routes are determined based on link-delay estimates, which are periodically flooded throughout the network. This flooding of link-delay estimates is done without considering the relevance of these estimates to routing quality, i.e. without taking into account the usefulness of the link -delay information. We have developed a new approach that improves link-state routing by estimating future link delays and flooding these estimates only to the extent that they are relevant. This means that we consider the dynamics of the link-delay information and its usefulness. Simulation studies suggest that our approach can lead to significant reductions in routing traffic with noticeable improvements of routing quality in high-load conditions, demonstrating the effectiveness of the framework. We plan to further investigate the conditions where our information-dynamics approach is better than the standard approach.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2001
Accession Number
ADA440518

Entities

People

  • A. U. Shankar
  • Ashok Agrawala
  • Hyeonsang Eom
  • Sam H. Noh

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Networks
  • Computer Science
  • Computers
  • Dynamics
  • Floods
  • Hypervelocity Flow
  • Internet Routing
  • Measurement
  • Network Architecture
  • Network Protocols
  • Network Science
  • Network Topology
  • Networks
  • Routing Protocols
  • Simulations
  • Standards
  • Steady State

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Networking