Interpolation Approximations for M/G/infinity Arrival Processes

Abstract

We present an approximate analysis of a discrete-time queue with correlated arrival processes of the so-called M | G | infinity type. The proposed heuristic approximations are developed around asymptotic results in the heavy and light traffic regimes. Investigation of the system behavior in light traffic quantifies the differences between the gradual M | G | infinity inputs and the point arrivals of a classical GI|GI|1 queue. In heavy traffic, salient features are effectively captured by the exponential distribution and the Mittag-Leffler special function, under short and long range dependence respectively. By interpolating between the heavy and light traffic extremes we derive approximations to the queue size distribution, applicable to all traffic intensities. We examine the accuracy of these expressions and discuss possible extensions of our results in several numerical examples.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA442652

Entities

People

  • Armand M. Makowski
  • Konstantinos P. Tsoukatos

Organizations

  • University of Maryland

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Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

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  • Department Of Defense
  • Electrical Engineering
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  • Ergodic Processes
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Fields of Study

  • Computer science

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  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.