DocumentCode :
333199
Title :
Sensitivity of output performance measures to input distributions in queueing network modeling
Author :
Gross, Donald ; Masi, Denise M Bevilacqua
Author_Institution :
Dept. of Oper. Res. & Eng., George Mason Univ., Fairfax, VA, USA
Volume :
1
fYear :
1998
fDate :
13-16 Dec 1998
Firstpage :
629
Abstract :
In Gross and Juttijudata (1997) a single node, G/G/1 queue was investigated as to the sensitivity of output performance measures, such as the mean queue wait, to the shape of the interarrival and service distributions selected. Gamma, Weibull, lognormal and Pearson type 5 distributions with identical first and second moments were investigated. Significant differences in output measures were noted for low to moderate traffic intensities (offered load, ρ), in some cases, even as high as 0.8. We continue this type of investigation for two types of queueing networks, namely two versions of a two-node call center, to see if network mixing might reduce the sensitivity effect
Keywords :
performance evaluation; queueing theory; telecommunication congestion control; Gamma distribution; Pearson type 5 distribution; Weibull distribution; input distributions; interarrival distribution; lognormal distribution; mean queue wait; network mixing; output performance measures; queueing network modeling; service distributions; single node G/G/1 queue; traffic intensities; two-node call center; Drives; Intelligent networks; Joining processes; Network servers; Operations research; Queueing analysis; Shape measurement; Switches; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference Proceedings, 1998. Winter
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5133-9
Type :
conf
DOI :
10.1109/WSC.1998.745044
Filename :
745044
Link To Document :
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