M/G/1 queue with Balking Shannonian Maximum Entropy Closed Form Expression with Some Potential Queueing Applications to Energy

Ismail A. Mageed, Quichun Zhang, D. Kouvatsos, N. Shah
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Abstract

The investigation of stable M/G/1 and queue with balking, characterized by a Poisson prospective arrival process and i.i.d. general (G) service periods, is being done to examine linkages between discrete maximum entropy (ME) distribution (i.e., the derived solutions resulting from the Lagrangian optimization of the proposed entropy function under prior and main constraints conditions) judgements and Markov chains. Increasing moment limitations are expected to keep exposing distinct state probability for single and many server queues with new information theoretic distributional structures. In this setting, the stationary queue length distributions (QLDs) of the queues-specifically, the generalized discrete Half Normal (GdHN) distributions-are more precisely inferred. The underlying service time distribution function and the cumulative service time distribution function both describe the M/GE/1 queue with balking (by balking, we mean the situation when customers refuse to join a queue) bearing the GdHN ME. Significant applications of queuing theory have been demonstrated to reveal the potential role of queueing techniques to energy works and other related fields. Fundamentally, the sky is open for revolutionary advancements by employing novel emerging queueing techniques in energy works and many unexplored disciplines.
具有Balking shannon最大熵闭形式表达式的M/G/1队列及其在能量排队中的潜在应用
研究了以泊松预期到达过程和一般(G)服务周期为特征的稳定M/G/1和具有阻塞的队列,以检验离散最大熵(ME)分布(即在先验和主要约束条件下由所提出的熵函数的拉格朗日优化得到的导出解)判断与马尔可夫链之间的联系。在新的信息论分布结构下,不断增加的矩限制可以使单个和多个服务器队列暴露出不同的状态概率。在这种情况下,可以更精确地推断出队列的平稳队列长度分布(qld),特别是广义离散半正态分布(GdHN)。底层服务时间分布函数和累积服务时间分布函数都描述了带有GdHN ME的M/GE/1队列中出现的犹豫(这里的犹豫是指顾客拒绝加入队列的情况)。排队理论的重要应用已经被证明,揭示了排队技术在能源工程和其他相关领域的潜在作用。从根本上说,通过在能源工作和许多未开发的学科中采用新颖的新兴排队技术,革命性的进步是开放的。
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