具有工作故障的流模型近似解分析
Asymptotic Solution of the Fluid Model with Working Breakdown Policy
DOI: 10.12677/AAM.2023.122079, PDF,    国家自然科学基金支持
作者: 刘煜飞, 叶晴晴:南京信息工程大学数学与统计学院,江苏 南京
关键词: 流模型工作故障归一化技术Fluid Model Working Breakdown Uniformization Technique
摘要: 本文分析了具有工作故障策略的流模型。当流模型处于正常工作状态时,服务台以较高速率为顾客提供服务,若发生故障,服务台将进入工作故障状态,同时维修立刻开始,期间服务台服务速率降低。当维修完成时,流模型将进入正常工作状态。通过归一化技术(Uniformization Technique)与递推公式,得到了流模型库存量尾分布函数的近似表达式,并得到了稳态下库存量各阶矩的表达式。最后通过数值例子分析了系统性能指标随参数的变化趋势。
Abstract: In this paper, we analyze the fluid model with working breakdown policy. During the normal work-ing period, the service serves customers at a high rate. When breakdown happens, server will turn into the partial working period and continue to provide service to arriving customers, but with a lower rate. When the repair is completed, the fluid model will enter the normal working period. Through the recursive formula and Uniformization Technique, we obtain the recursive expression of the tail joint distribution function and the expressions of each moment of the buffer content in stability condition are obtained. Finally, the variation trend of system performance index with pa-rameters is analyzed by numerical examples.
文章引用:刘煜飞, 叶晴晴. 具有工作故障的流模型近似解分析[J]. 应用数学进展, 2023, 12(2): 771-780. https://doi.org/10.12677/AAM.2023.122079

参考文献

[1] Mitra, D. (1988) Stochastic Theory of a Fluid Model of Producers and Consumers Coupled by a Buffer. Advances in Applied Probability, 20, 646-676. [Google Scholar] [CrossRef
[2] Bekker, R. and Mandjes, M. (2009) A Fluid Model for a Relay Node in an Ad Hoc Network: The Case of Heavy-Tailed Input. Mathematical Methods of Oper-ations Research, 70, 357-384. [Google Scholar] [CrossRef
[3] Gautam, N. (2012) Analysis of Queues: Methods and Applica-tions. Computer Reviews, 23, 778.
[4] Nabli, H. (2004) Asymptotic Solution of Stochastic Fluid Models. Performance Evaluation, 57, 121-140. [Google Scholar] [CrossRef
[5] Nabli, H. (2006) Time to Stationarity for General Markov Fluid Models. International Journal of Communication Systems, 19, 249-262. [Google Scholar] [CrossRef
[6] Nabli, H., Abbessi, W. and Ouerghi, H. (2016) A Unified Algorithm for Finite and Infinite Buffer Content Distribution of Markov Fluid Models. Performance Evaluation, 99-100, 37-54. [Google Scholar] [CrossRef
[7] Nabli, H. (2022) Moments Computation for General Markov Flu-id Models. Methodology and Computing in Applied Probability, 24, 2055-2070. [Google Scholar] [CrossRef
[8] Kalidass, K. and Kasturi, R. (2012) A Queue with Working Breakdowns. Computers & Industrial Engineering, 63, 779-783. [Google Scholar] [CrossRef
[9] Ye, Q.Q. and Liu, L.W. (2018) Analysis of MAP/M/1 Queue with Working Breakdowns. Communications in Statistics Theory and Methods, 47, 3073-3084. [Google Scholar] [CrossRef
[10] Gao, S., Wang, J. and Van, D.T. (2019) Analysis of a Dis-crete-Time Repairable Queue with Disasters and Working Breakdowns. RAIRO-Operations Research, 53, 1197-1216. [Google Scholar] [CrossRef
[11] Yang, D., Chen, Y. and Wu, C. (2020) Modelling and Optimisation of a Two-Server Queue with Multiple Vacations and Working Breakdowns. International Journal of Production Research, 58, 3036-3048. [Google Scholar] [CrossRef
[12] 孙红霜, 叶晴晴. 带工作故障的M/M/1重试排队流模型系统性能分析[J]. 应用数学进展, 2022, 11(2): 769-780. [Google Scholar] [CrossRef
[13] Tanaka, T., Hashida, O. and Takahashi, Y. (1995) Transient Analysis of Fluid Model for ATM Statistical Multiplexer. Performance Evaluation, 23, 145-162. [Google Scholar] [CrossRef
[14] Bowerman, P.N., Nolty, R.G. and Scheuer, E.M. (1990) Calculation of the Poisson Cumulative Distribution Function (Reliability Applications). IEEE Transactions on Reliability, 39, 159-161. [Google Scholar] [CrossRef