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A bulk quorum queueing system with a random setup time under N-policy and with Bernoulli vacation schedule

机译:具有N策略下的随机建立时间和Bernoulli假期计划的批量仲裁排队系统

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This paper is concerned with the optimal management of a batch arrival, bulk service queueing system with random set-up time under Bernoulli vacation schedule and N-policy. If the number of customers in the system at a service completion is larger than some integer r, then the server starts processing a group of r customers. If, on the other hand, it is smaller than r, then the server idles and waits for the line to grow up to some other integer N, (N ≥ r). Using the embedded Markov chain and semi-regenerative techniques, we obtain all the system characteristics required to build a linear cost structure. Then, we implement a simple search procedure to determine the optimal thresholds levels r and N, An illustrative example is presented.
机译:本文涉及在伯努利休假时间表和N策略下具有随机设置时间的批量到达,批量服务排队系统的最优管理。如果在服务完成时系统中的客户数量大于某个整数r,则服务器开始处理一组r客户。另一方面,如果它小于r,则服务器空闲并等待该行增长到其他整数N(N≥r)。使用嵌入式马尔可夫链和半再生技术,我们可以获得构建线性成本结构所需的所有系统特征。然后,我们执行一个简单的搜索过程来确定最佳阈值水平r和N。

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