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Approximate Analysis of Central Server Models

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2 Author(s)
Sauer, C.H. ; IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598, USA ; Chandy, K.M.

Service time distributions at computer processing units are often nonexponential. Empirical studies show that different programs may have markedly different processing time requirements. When queuing disciplines are first come, first served, preemptive priority or nonpreemptive priority, models reflecting these characteristics are difficult to analyze exactly. Available approximate techniques are often too expensive for parametric analysis. Inexpensive approximate techniques for solution of central server models with the above characteristics are presented. The results of these techniques are validated with simulation results.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:19 ,  Issue: 3 )

Date of Publication:

May 1975

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