Optimal scheduling in multi-server queues with random connectivity and retransmissions

  • Authors:
  • Hussein Al-Zubaidy;Ioannis Lambadaris;Yannis Viniotis

  • Affiliations:
  • ECE - University of Toronto, Toronto, ON, Canada;SCE - Carleton University, Ottawa, ON, Canada;ECE - North Carolina State University, Raleigh, NC, USA

  • Venue:
  • Computer Communications
  • Year:
  • 2012

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Abstract

We investigate an optimal scheduling problem in a discrete-time, multiserver system of parallel queues. The servers are connected to the queues in a random fashion and scheduled packets complete service successfully with a given probability. This model is suitable for the study of dynamic packet scheduling problems in wireless systems. We study first a two-server system of two infinite-capacity queues with homogeneous arrival, service and connectivity assumptions. We use coupling arguments to prove that a ''Most Balancing'' scheduling policy is optimal, in a stochastic ordering sense, for this system. We then consider a finite-capacity, non-homogeneous, multi-server and multi-queue system. We develop a dynamic programming model to determine numerically the scheduling policy that optimizes a range of cost functions, including average total queue sizes. We also compare the performance of the optimal policy to that of a few other policies via simulations.