Connection Utilization Masking in ATM Networks

Abstract

A technique for connection utilization masking in ATM networks is presented, modeled, and analyzed. Specifically, a cell injection mechanism is modeled with a two-state Markov Modulated Poisson Process (MMPP) to study its autocorrelation and power spectral density properties and the queue response to the arrival process. The Cruz bound is used to determine injection source traffic parameters. Cell injection is implemented on a permanent virtual channel with a bursty Variable Bit Rate (VBR) source. The result is also VBR traffic having a new set of user-defined statistics. Traffic traces representing before and after injection scenarios are collected and further processed to define autocorrelation and power spectrum density functions. The results are used to compare and justify analytical results. The cell-injected stream shows strong correlation over a long duration, an indication of the removal of burstiness. Cell Transfer Delay, Cell Loss Rate, and Cell inter-arrival time statistics are collected to evaluate injection's effects on Quality of Service (QoS) parameters. Cell injection causes more mid- and high-frequency traffic power to be shifted towards low frequency region in the frequency spectrum, representing an increase in the mean arrival rate.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1999
Accession Number
ADA376317

Entities

People

  • Abdullah Cay

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Autocorrelation
  • Bandwidth
  • Channel Allocation
  • Communication Channels
  • Computer Network Security
  • Data Science
  • Frequency
  • Frequency Bands
  • Frequency Domain
  • Information Science
  • Network Protocols
  • Order Statistics
  • Power Spectra
  • Spectra
  • Statistical Analysis
  • Statistics

Readers

  • Computer Networking
  • Mathematical Modeling and Probability Theory.
  • Radar Systems Engineering.