Approximation of discrete-time polling systems via structured Markov chains

  • Authors:
  • P. Beekhuizen;J. A. C. Resing

  • Affiliations:
  • Philips Research Eindhoven, The Netherlands and EURANDOM Eindhoven University of Technology;Eindhoven University of Technology, Eindhoven, The Netherlands

  • Venue:
  • Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
  • Year:
  • 2009

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Abstract

We devise an approximation of the marginal queue length distribution in discrete-time polling systems with batch arrivals and fixed packet sizes. The polling server uses the Bernoulli service discipline and Markovian routing. The 1-limited and exhaustive service disciplines are special cases of the Bernoulli service discipline, and traditional cyclic routing is a special case of Markovian routing. The key step of our approximation is the translation of the polling system to a structured Markov chain, while truncating all but one queue. Numerical experiments show that the approximation is very accurate in general. Our study is motivated by networks on chips with multiple masters (e.g., processors) sharing a single slave (e.g., memory).