Fuzzy Closed BCMP Queueing Network Model for Performance Evaluation of Centralized Distributed Processing System


The KIPS Transactions:PartA, Vol. 9, No. 1, pp. 45-52, Mar. 2002
10.3745/KIPSTA.2002.9.1.45,   PDF Download:

Abstract

This paper proposes the fuzzy closed BCMP queueing network model using fuzzy set theory for the performance evaluation of centralized distributed processing system with ambiguous system factors in the network environments. This model can derive the measures for system performances such as the job spending time, the system throughput, average job number and server utilizations using fuzzy mean value analysis which can process the fuzzy factors. Computer simulation has been performed centralized distributed system with fuzzy service requirement time for verifying the effectiveness of derived equations of performance evaluation according to the numbers of clients, and the results were analyzed. The proposed model provides more and flexible realistic than performance evaluation of conventional method when we evaluated system performance with ambiguous factors.


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Cite this article
[IEEE Style]
B. J. Choo, J. B. Jo, C. H. Woo, "Fuzzy Closed BCMP Queueing Network Model for Performance Evaluation of Centralized Distributed Processing System," The KIPS Transactions:PartA, vol. 9, no. 1, pp. 45-52, 2002. DOI: 10.3745/KIPSTA.2002.9.1.45.

[ACM Style]
Bong Jo Choo, Jung Bok Jo, and Chong Ho Woo. 2002. Fuzzy Closed BCMP Queueing Network Model for Performance Evaluation of Centralized Distributed Processing System. The KIPS Transactions:PartA, 9, 1, (2002), 45-52. DOI: 10.3745/KIPSTA.2002.9.1.45.