Extreme and high-level sojourns of the single server queue in heavy traffic

  • Authors:
  • Kuo-Hwa Chang

  • Affiliations:
  • Department of Industrial Engineering, Chung-Yuan University,

  • Venue:
  • Queueing Systems: Theory and Applications
  • Year:
  • 1997

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Abstract

This study characterizes the behavior of large queue lengths in heavy traffic. We show that the distribution of the maximum queue length in a random time interval for a queueing systems in heavy traffic converges to a novel extreme value distribution. We also study the processes that record the times that the queue length exceeds a high level and the cumulative time the queue is above the level. We show that these processes converge in distribution to compound Poisson processes.