• 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