Queue length distributions from probability generating functions via discrete fourier transforms

  • Authors:
  • John N. Daigle

  • Affiliations:
  • Department of Industrial Engineering and Operations Research, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA

  • Venue:
  • Operations Research Letters
  • Year:
  • 1989

Quantified Score

Hi-index 0.00

Visualization

Abstract

Currently advocated techniques for inversion of probability generating functions via discrete Fourier transforms (DFTs) require computation of a large number of DFT coefficients to reduce the effects of aliasing, but this increases round-off error and still does not yield tail probabilities. We present a simple algorithm for obtaining complete queue lenght distributions using relatively few DFT coefficients.