The recursive solution of queue length for Geo/G/1 queue with N-policy
- 时间:0
- 分类:O226[理学—运筹学与控制论;理学—数学] TN915.2[电子电信—通信与信息系统;电子电信—信息与通信工程]
- 作者机构:[1]School-of Economic Mathematics, Southwestern University of Finance and Economics, Chengdu 611130, China., [2]School of Mathematics and Software Science, Sichuan Normal University, Chengdu 610066, China., [3]School of Economic Mathematics, Southwestern University of Finance and Economics, Chengdu 611130, China.
- 相关基金:This paper was supported by the National Natural Science Foundation of China under Grant No. 70871084, The Specialized Research and for the Doctoral Program of Higher Education of China under Grant No. 200806360001, a grant from the "project 211 (Phase III)" of the Southwestern University of Finance and Economics, Scientific Research Fund of Southwestern University of Finance and Economics.
- 相关项目:排队模型的队长分布与数值计算及在管理科学中的应用
关键词:
队列长度, N-策略, 递归, 离散时间排队, 分解技术, 更新过程, 长度分布, 均衡分布, Discrete-time queue, N-policy, recursive expression, stochastic decomposition.
中文摘要:
<正>This paper considers a discrete-time queue with N-policy and LAS-DA(late arrival system with delayed access) discipline.By using renewal process theory and probability decomposition techniques,the authors derive the recursive expressions of the queue-length distributions at epochs n~-,n~+,and n.Furthermore,the authors obtain the stochastic decomposition of the queue length and the relations between the equilibrium distributions of the queue length at different epochs(n~-,n~+,n and departure epoch D_n).
英文摘要:
This paper considers a discrete-time queue with N-policy and LAS-DA (late arrival system with delayed access) discipline. By using renewal process theory and probability decomposition techniques, the authors derive the recursive expressions of the queue-length distributions at epochs n-, n+, and n. Furthermore, the authors obtain the stochastic decomposition of the queue length and the relations between the equilibrium distributions of the queue length at different epochs (n-, n+, n and departure epoch Dn).