Monitoring of Network Topology Dynamics

Abstract

We present software for deriving innovative metrics describing dominant parts of the internal structure of large networks. The algorithm is sufficiently fast for the network metrics to support real time monitoring of network dynamics. The network connections (connectivity matrix) are mathematically constructed by capturing the appropriate header parameters of selected internet/network traffic. Our metrics are in part derived from a network cluster decomposition that is based upon a physical model analogy for the network that is very rapidly evolved revealing cluster structures. Certain of the metrics consist in part of Renyi (generalized Shannon) entropy measures on the resulting network clusters and subclusters. This evolution depends upon the connectivity matrix and revels many qualitative features of the network.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2004
Accession Number
ADA447339

Entities

People

  • James L. Sidoran
  • Joseph E. Johnson
  • Rajesh Madamanchi
  • Vladimir Gudkov

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Complex Systems
  • Computer Networks
  • Computer Science
  • Differential Equations
  • Dynamics
  • Electronic Mail
  • Engineering
  • Information Operations
  • Information Warfare
  • Internet
  • Monitoring
  • Network Topology
  • Networks
  • Physics
  • South Carolina
  • Statistical Analysis

Fields of Study

  • Computer science

Readers

  • Mathematical Modeling and Probability Theory.
  • Quantum Chemistry
  • Systems Analysis and Design