The use of the distributional Little's law in the computational analysis of discrete-time GI/G/1 and GI/D/c queues

  • Authors:
  • Nam K. Kim;Mohan L. Chaudhry

  • Affiliations:
  • Department of Industrial Engineering, Chonnam National University, Gwangju, 500-757, Republic of Korea;Department of Mathematics and Computer Science, Royal Military College of Canada, P.O. Box 17000 STN FORCES, Kingston, ON K7K 7B4, Canada

  • Venue:
  • Performance Evaluation
  • Year:
  • 2008

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Abstract

In this paper, we first establish a discrete-time version of what is called the distributional Little's law, a relation between the stationary distributions of the number of customers in a system (or queue length) and the number of slots a customer spends in that system (or waiting time). Based on this relation, we then present a simple computational procedure to obtain the queue-length distribution of the discrete-time GI/G/1 queue from its waiting-time distribution, which is readily available by various existing methods. Using the same procedure, we also obtain the queue-length distribution of the discrete-time multi-server GI/D/c queue in a unified manner. Sample numerical examples are also given.