Transform methods for heavy-traffic analysis

Daniela Hurtado-Lange, Siva Theja Maguluri*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


The drift method was recently developed to study queuing systems in steady state. It was used successfully to obtain bounds on the moments of the scaled queue lengths that are asymptotically tight in heavy traffic and in a wide variety of systems, including generalized switches, input-queued switches, bandwidth-sharing networks, and so on. In this paper, we develop the use of transform techniques for heavy-traffic analysis, with a special focus on the use of moment-generating functions. This approach simplifies the proofs of the drift method and provides a new perspective on the drift method. We present a general framework and then use the moment-generating function method to obtain the stationary distribution of scaled queue lengths in heavy traffic in queuing systems that satisfy the complete resource pooling condition. In particular, we study load balancing systems and generalized switches under general settings.

Original languageEnglish (US)
Pages (from-to)275-309
Number of pages35
JournalStochastic Systems
Issue number4
StatePublished - Dec 2020


  • Complete resource pooling
  • Drift method
  • Heavy-traffic analysis
  • State space collapse

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Modeling and Simulation
  • Statistics and Probability


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