Rare Events Queueing System – REQS

I. Tanackov, Zarko Jevtic, G. Stojić, Feta Sinani, Pamela Ercegovac
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引用次数: 3

Abstract

The paper deals with the queueing system for customers with Poisson’s input current intensity l and two service modes: in the regular service regime of intensity control m, customers are served with probability p»1 and in the special regime of servicing the special customers with intensity x. The special customers access the REQS with complementary probability (1-p)»0. The special customer service is analogous to a rare event. The standard methodology has developed analytical patterns for the stationary of REQS with one service channel and an infinite number of positions in the queue. The analysis of the work of REQS indicates that it is for favorable metering parameters r=l/m>2, queueing system is resistant to collapse when a occurrence occurs. However, the regular time losses of the regular customers in the REQS are extremely high. For this reason, it is the first time that the period of stabilization of the system is promoted which represents the time interval service the completion of the special customers until the REQS. The analytical apparatus of the queueing system has shown excellent adaptability to the heterogeneous demands of services m and special customers with low service intensity x, where m>x. The system can be applied to checkpoint calculations, the traffic cuts due to accidents, incidents to industrial systems, ie, the rare events due to anthropogenic and technical factors in intervals of 10-4 do 10-6. The model is not intended for natural hazards.
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罕见事件排队系统——REQS
本文研究了具有泊松输入电流强度为1的顾客排队系统和两种服务模式:在强度控制为m的常规服务状态下,顾客获得服务的概率为p»1;在为强度为x的特殊服务状态下,特殊顾客获得REQS的互补概率为(1-p)»0。特殊客户服务类似于罕见事件。标准方法开发了具有一个服务通道和队列中无限多个位置的REQS的静态分析模式。通过对REQS系统工作的分析表明,当排队系统发生故障时,只有在合适的计量参数r=l/m>2时,排队系统才能够抵抗崩溃。然而,在REQS中,固定客户的常规时间损失非常高。因此,首次提高了系统的稳定周期,即从特殊客户完成服务到REQS的时间间隔。排队系统的分析装置对服务m和低服务强度x的特殊顾客的异构需求表现出极好的适应性,其中m>x。该系统可以应用于检查站的计算,交通削减由于事故,事故到工业系统,即,罕见事件由于人为和技术因素在10-4做10-6的间隔。该模型不适用于自然灾害。
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来源期刊
CiteScore
7.90
自引率
0.00%
发文量
25
审稿时长
15 weeks
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