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Ingeniería e Investigación

Print version ISSN 0120-5609


RANGEL MARTINEZ, Lina M  and  ALVARADO VALENCIA, Jorge A. The consequences of heavy-tailed service time distribution on a basic queuing model and its performance indicators. Ing. Investig. [online]. 2010, vol.30, n.2, pp.136-146. ISSN 0120-5609.

Recent research showing theoretical generative models for heavy-tailed service time queues and its empirical validation implies the need for a better knowledge of the key performance indicators’ behaviour under such assumption. The behaviour of the average length of the queue (Lp) and the average waiting-time (Wp) were analysed through simulation, varying system capacity, average service utilisation factor (r) and the number of servers in the systems as parameters. Comparisons were also made with service times based on Poisson processes. The results showed more sensitive variations of Lpand Wpfor heavy-tailed service times than for Poisson-based service times. Systems having a capacity of over 1,000 entities might be considered as being systems having infinity capacity and the number of servers has a greater importance in heavy-tailed ruled processes than in Poisson processes. There was a lack of adequacy of Lpand Wpas key performance indicators for heavy-tailed service times, leading to unexpected and unstable results.

Keywords : queuing system; heavy-tailed distribution; service time; Pareto distribution; generative model.

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