Heavy and Light Traffic Regimes for M/G/infinity Traffic Models

Abstract

The M | G | infinity busy server process provides a class of structural models for communication network traffic. In this dissertation, we study the asymptotic behavior of a network multiplexer, modeled as a discrete-time queue, driven by and M | G | infinity correlated arrival stream. The asymptotic regimes considered here are those of heavy and light traffic. In heavy traffic, we show that the arising limits are described in terms of the classical Brownian motion and the alpha-stable Levy motion, under short and long range dependence, respectively. Salient features are then effectively captured by the exponential distribution and the Mittag-Leffler special function. In light traffic, the analysis reveals the effect of two aspects of the M | G | infinity process, i.e., the session duration distribution G and the gradual nature of the arrivals, as opposed to the instantaneous inputs of a standard GI | GI | 1 queue. We exploit these asymptotic results to construct interpolation approximations for system quantities of interest, applicable to all traffic intensities.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA442643

Entities

People

  • Konstantinos P. Tsoukatos

Organizations

  • University of Maryland

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Brownian Motion
  • Distribution Functions
  • Electrical Engineering
  • Gaussian Noise
  • Gaussian Processes
  • Law
  • Markov Chains
  • Networks
  • Normal Distribution
  • Probability
  • Random Variables
  • Simulations
  • Stability Conditions
  • Stationary Processes
  • Stochastic Processes
  • Theses
  • Weak Convergence

Readers

  • Mathematical Modeling and Probability Theory.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.