A Fast Method for Combining/Generating Synthetic Traffic Traces Exhibiting Short- and Long-Range Dependence

Abstract

We consider a heuristic approach for combining short traffic traces of various degrees of self-similarity to produce a longer trace that has the following desirable properties. The mixed trace is capable of modeling computer networking traffic that exhibits both short- and long-range dependence in a unified model. Synthetic traces of self-similar characteristics can be generated quickly due to the simplicity of our method, which is faster than the traditional approach of generating/approximating traffic traces from nothing.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1996
Accession Number
ADA531276

Entities

People

  • Gam D. Nguyen

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Autocorrelation
  • Computer Communications
  • Computers
  • Data Science
  • Ethernet
  • Gaussian Noise
  • Indicators
  • Information Operations
  • Information Science
  • Military Research
  • Networks
  • Simulations
  • Spine
  • Statistics

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Wave Propagation and Nonlinear Chaotic Dynamics.