A simple and efficient computing procedure of the stationary system-length distributions for GIX/D/c and BMAP/D/c queues. (February 2022)
- Record Type:
- Journal Article
- Title:
- A simple and efficient computing procedure of the stationary system-length distributions for GIX/D/c and BMAP/D/c queues. (February 2022)
- Main Title:
- A simple and efficient computing procedure of the stationary system-length distributions for GIX/D/c and BMAP/D/c queues
- Authors:
- Banik, A.D.
Chaudhry, M.L.
Wittevrongel, Sabine
Bruneel, Herwig - Abstract:
- Abstract: This article gives closed-form analytic expressions as well as a computational analysis of the stationary system-length distribution for the renewal-input, bulk-arrival, and multi-server continuous-time queueing model. The service times are equal to the constant D for any customer. The queueing model may be denoted as G I X / D / c queue. Using the steady-state equations, the system-length probability generating function is derived. Subsequently, by inverting this probability generating function the stationary system-length distribution is obtained using the roots of a characteristic equation. Next, a similar analysis for the corresponding multi-server queueing model with batch Markovian arrival process ( B M A P ) is carried out using the roots of a characteristic equation associated with the vector generating function of the system-length distribution. The distribution function of the stationary actual waiting-time for the first customer of an arrival batch in a B M A P / D / c queue is also derived. Some numerical implementation of the procedure for the G I X / D / c and B M A P / D / c queues is performed. Numerical values for the expected system length and waiting time are also obtained. Highlights: Infinite-buffer multi-server queue with deterministic service time is considered. Renewal inter-batch arrival times are dealt. Stationary system-length distribution is obtained. Stationary waiting-time distribution for the first customer of a batch is derived.Abstract: This article gives closed-form analytic expressions as well as a computational analysis of the stationary system-length distribution for the renewal-input, bulk-arrival, and multi-server continuous-time queueing model. The service times are equal to the constant D for any customer. The queueing model may be denoted as G I X / D / c queue. Using the steady-state equations, the system-length probability generating function is derived. Subsequently, by inverting this probability generating function the stationary system-length distribution is obtained using the roots of a characteristic equation. Next, a similar analysis for the corresponding multi-server queueing model with batch Markovian arrival process ( B M A P ) is carried out using the roots of a characteristic equation associated with the vector generating function of the system-length distribution. The distribution function of the stationary actual waiting-time for the first customer of an arrival batch in a B M A P / D / c queue is also derived. Some numerical implementation of the procedure for the G I X / D / c and B M A P / D / c queues is performed. Numerical values for the expected system length and waiting time are also obtained. Highlights: Infinite-buffer multi-server queue with deterministic service time is considered. Renewal inter-batch arrival times are dealt. Stationary system-length distribution is obtained. Stationary waiting-time distribution for the first customer of a batch is derived. Multi-server queue with batch Markovian arrival process is also dealt. … (more)
- Is Part Of:
- Computers & operations research. Volume 138(2022)
- Journal:
- Computers & operations research
- Issue:
- Volume 138(2022)
- Issue Display:
- Volume 138, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 138
- Issue:
- 2022
- Issue Sort Value:
- 2022-0138-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02
- Subjects:
- Renewal input -- Batch arrival queue -- Infinite-buffer -- Multi-server -- Roots -- Deterministic service time -- Batch Markovian arrival process
Operations research -- Periodicals
Electronic digital computers -- Periodicals
004.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03050548 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cor.2021.105564 ↗
- Languages:
- English
- ISSNs:
- 0305-0548
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.770000
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