
doi: 10.3390/math8040531
A multi-server retrial queue with a hyper-exponential service time is considered in this paper. The study is performed by the method of asymptotic diffusion analysis under the condition of long delay in orbit. On the basis of the constructed diffusion process, we obtain approximations of stationary probability distributions of the number of customers in orbit and the number of busy servers. Using simulations and numerical analysis, we estimate the accuracy and applicability area of the obtained approximations.
очередь повторных попыток, asymptotic analysis, гиперэкспоненциальное распределение, асимптотический анализ, QA1-939, diffusion process, multi-server retrial queue, Mathematics, hyper-exponential service time
очередь повторных попыток, asymptotic analysis, гиперэкспоненциальное распределение, асимптотический анализ, QA1-939, diffusion process, multi-server retrial queue, Mathematics, hyper-exponential service time
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
