Regenerative Analysis and Approximation of Queueing Systems with Superposed Input Processes

Autor: Irina Peshkova, Evsey Morozov, Michele Pagano
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Mathematics, Vol 12, Iss 14, p 2202 (2024)
Druh dokumentu: article
ISSN: 2227-7390
DOI: 10.3390/math12142202
Popis: A single-server queueing system with n classes of customers, stationary superposed input processes, and general class-dependent service times is considered. An exponential splitting is proposed to construct classical regeneration in this (originally non-regenerative) system, provided that the component processes have heavy-tailed interarrival times. In particular, we focus on input processes with Pareto interarrival times. Moreover, an approximating GI/G/1-type system is considered, in which the independent identically distributed interarrival times follow the stationary Palm distribution corresponding to the stationary superposed input process. Finally, Monte Carlo and regenerative simulation techniques are applied to estimate and compare the stationary waiting time of a customer in the original and in the approximating systems, as well as to derive additional information on the regeneration cycles’ structure.
Databáze: Directory of Open Access Journals
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