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Near‐optimal analysis of homogeneous central‐server queueing networks

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  • G. C. Pentzaropoulos
  • D. I. Giokas

Abstract

The problem of achieving near‐optimality in homogeneous central‐server queueing networks is investigated by means of a composite approach based on approximate operational analysis and goal programming procedures. A near‐optimal solution is shown to exist: this includes the expected overall waiting time, the overall throughput rate, as well as the distribution of queue length values. The need to maintain a balanced network flow and the desire to minimize the overall waiting time are expressed as complimentary objectives. Numerical results, based on past measurements from a multi‐server computing facility, indicate that the performance gains obtained by the application of the present methodology are quite significant throughout the network's feasible population scale. © 1997 by John Wiley & Sons, Ltd.

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  • G. C. Pentzaropoulos & D. I. Giokas, 1997. "Near‐optimal analysis of homogeneous central‐server queueing networks," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 13(1), pages 15-27, March.
    • Handle: RePEc:wly:apsmda:v:13:y:1997:i:1:p:15-27
    DOI: 10.1002/(SICI)1099-0747(199703)13:13.0.CO;2-2
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