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Analysis of renewal input batch service queue with impatient customers and multiple working vacations

机译:耐急客户和多个工作假期续订输入批量服务队列分析

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This paper presents a renewal input single server batch service queue with impatient customers and multiple working vacations. An arriving customer may join the system with probability d or balk with probability 1 - d. The service is carried out in batches with a maximum threshold limit b. The server takes a working vacation when there are no customers in the system, and continues taking multiple working vacations as long as there are no customers at working vacation completion epochs. Applying the embedded Markov chain approach and the displacement operator method, we find the probability distribution of the queue-length at pre-arrival epoch. With the help of the Markov renewal theory and semi-Markov processes, we compute the probability distribution of the queue-length at an arbitrary epoch. We also obtain the system-length distributions at both pre-arrival and arbitrary epochs and present a potential application of the model in cloud systems. Some corresponding results underneath special cases are found by putting suitable values. We present various performance measures and waiting-time distributions in the queue. Numerical results are demonstrated to emphasize the qualitative features of the model.
机译:本文介绍了具有不耐性客户和多个工作假期的续订输入单服务器批量服务队列。到达客户可以与概率D或BALK加入系统,具有概率1-d。该服务以最大阈值限制B的批次进行。当系统中没有客户时,服务器拍摄工作休假,并且只要工作假期完成时期没有客户,就继续使用多个工作假期。应用嵌入式马尔可夫链方法和位移操作方法,我们在抵达前时代的队列长度的概率分布。在马尔可夫更新理论和半马尔可夫进程的帮助下,我们将队列长度的概率分布计算在任意时代。我们还在抵达前和任意时期获得了系统长度分布,并呈现了模型在云系统中的潜在应用。通过放置合适的值,找到了一些特殊情况下的一些相应结果。我们在队列中提出了各种性能措施和等候时间分布。证明了数值结果以强调模型的定性特征。

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