System capacity optimization design and optimal threshold $N^{*}$ for a $GEO/G/1$ discrete-time queue with single server vacation and under the control of Min($N, V$)-policy-Reference-Cited by-同舟云学术

System capacity optimization design and optimal threshold $N^{*}$ for a $GEO/G/1$ discrete-time queue with single server vacation and under the control of Min($N, V$)-policy

Published:2016-01 Issue:4 Volume:12 Page:1435-1464
ISSN:1547-5816
Container-title:Journal of Industrial and Management Optimization
language:en
Short-container-title:JIMO

Author:

Yu Miaomiao,Tang Yinghui,Lan Shaojun

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Control and Optimization,Strategy and Management,Business and International Management

Reference24 articles.

1. Discrete NT-policy single server queue with Markovian arrival process and phase type service,;A. S. Alfa;European Journal of Operational Research,1996

2. Discrete-Time Models for Communication Systems Including ATM,;H. Bruneel;The Springer International Series In Engineering And Computer Science,1993

3. Analysis of a discrete-time queueing system with an NT-policy,;B. Feyaerts;in Analytical and Stochastic Modeling Techniques and Applications (eds. K. L. Begain,2010

4. The impact of the NT-policy on the behaviour of a discrete-time queue with general service times,;B. Feyaerts;Journal of Industrial and Management Optimization,2014

5. On a discrete-time $GI^X$/Geo/1/N-G queue with randomized working vacations and at most J vacations,;S. Gao;Journal of Industrial and Management Optimization,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of $ {{M}^{({{\lambda }_{1}}, {{\lambda }_{2}})}}/G/1 $ queue with uninterrupted single vacation and server's workload controlled <i>D</i>-policy;Journal of Industrial and Management Optimization;2023

2. Optimal Control Policy of M/G/1 Queueing System with Delayed Randomized Multiple Vacations Under the Modified Min(N, D)-Policy Control;Journal of the Operations Research Society of China;2022-04-18