On a unifying theory on polling models in heavy traffic

  • Authors:
  • R. D. Van Der Mei

  • Affiliations:
  • CWI, Probability and Stochastic Networks, Amsterdam, The Netherlands and Vrije Universiteit, Faculty of Sciences, Amsterdam, The Netherlands

  • Venue:
  • ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
  • Year:
  • 2007

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Abstract

For a broad class of polling models the evolution of the system at specific embedded polling instants is known to constitute multitype branching process (MTBP) with immigration. In this paper it is shown that for this class of polling models the vector X that describes the state of the system at these polling instants satisfies the following heavy-traffic behavior, under mild assumptions: (1 - ρ)X →d γ Γ(α, µ) (ρ ↑ 1), (1) where γ is a known vector, Γ(α, µ) has a gamma-distribution with known parameters α and µ, and where ρ is the load of the system. This general and powerful result is shown to lead to exact - and in many cases even closed-form - expressions for the Laplace-Stieltjes Transform (LST) of the complete asymptotic queue-length and waiting-time distributions for a broad class of branching-type polling models that includes many well-studied polling models policies as special cases. The results generalize and unify many known results on the waiting times in polling systems in heavy traffic, and moreover, lead to new exact results for classical polling models that have not been observed before. As an illustration of the usefulness of the results, we derive new closed-form expressions for the LST of the waiting-time distributions for models with a cyclic globally-gated polling regime. As a by-product, our results lead to a number of asymptotic insensitivity properties, providing new fundamental insights in the behavior of polling models.