Optimal scheduling in a multiserver stochastic network

  • Authors:
  • Mohsen Bayati;Mayank Sharma;Mark S. Squillante

  • Affiliations:
  • Stanford University, Stanford, CA;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Thomas J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review
  • Year:
  • 2006

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Abstract

We consider a fundamental scheduling problem in a multiserver stochastic network consisting of 2 classes of customers and 2 classes of servers. Customers of class k arrive to queue k according to a Poisson process with rate λk, k = 1, 2. The service times of class k customers at class ℓ servers are i.i.d. following an exponential distribution with mean μkℓ-1, ∀k, ℓ = 1, 2, where 0 11, μ12, μ22 21 = 0. Hence, class 1 customers can be served at both classes of servers, but class 2 customers can only be served at class 2 servers. A FCFS queueing discipline is employed at each queue. The customer arrival and service processes are mutually independent of each other and of all resource allocation decisions.