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本文研究批量到达带启动时间的单重休假的M/G/1排队系统,给出稳态队长的母函数和等待时间分布的LST及其它们的随机分解结果,推导出忙期、闲期和线期母函数和均值。 相似文献
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多重休假的带启动期Geom/G/1排队 总被引:10,自引:2,他引:8
本文研究多重休假的带启动期的Geom/G/1离散时间排队。给出稳态队长,等待时间分布的母函数及其随机分解结果,推导出忙期,假期和启动期的母函数等。 相似文献
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给出了Geom/G/1(Ex,Mv)排队模型的等待时间.通过对假时间,启动期,服务时间,关闭期的平均长度的计算,并结合它们的剩余寿命的概率母函数,给出了该模型等待时间的分布函数的概率母函数. 相似文献
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考虑Mx/G(M/G)/1(M/G)可修排队系统,且把该系统推广到休假时间、服务时间、修理时间和延误休假时间都为任意分布(不一定连续),利用服务员忙期和拉普拉斯交换,我们直接获得队长瞬态分布的L变换递推式和稳态分布的递推式,以及队长的概率母函数,同时指出了1994年史定华文中存在的错误. 相似文献
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研究多重休假带启动-关闭期和N策略的M/G/1排队系统,根据嵌入Markov链的方法推导出状态转移概率矩阵,利用M/G/1型排队系统结构矩阵解析法,得出顾客服务完离去后系统稳态队长分布及其母函数的表达式;从而由经典随机分解原理,给出稳态队长的随机分解结果.此外,利用LST变换处理卷积,得到忙期的母函数及数学期望的表达式;进而得到忙期、启动期和关闭期的母函数及在稳态下服务员处于各状态的概率.最后提出一些数值例子以验证结论. 相似文献
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We consider a discrete-time single-server queueing model where arrivals are governed by a discrete Markovian arrival process (DMAP), which captures both burstiness and correlation in the interarrival times, and the service times and the vacation duration times are assumed to have a general phase-type distributions. The vacation policy is that of a working vacation policy where the server serves the customers at a lower rate during the vacation period as compared to the rate during the normal busy period. Various performance measures of this queueing system like the stationary queue length distribution, waiting time distribution and the distribution of regular busy period are derived. Through numerical experiments, certain insights are presented based on a comparison of the considered model with an equivalent model with independent arrivals, and the effect of the parameters on the performance measures of this model are analyzed. 相似文献
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In this paper, we analyze a single-server vacation queue with a general arrival process. Two policies, working vacation and vacation interruption, are connected to model some practical problems. The GI/M/1 queue with such two policies is described and by the matrix analysis method, we obtain various performance measures such as mean queue length and waiting time. Finally, using some numerical examples, we present the parameter effect on the performance measures and establish the cost and profit functions to analyze the optimal service rate η during the vacation period. 相似文献
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Jihong Li 《Applied mathematics and computation》2011,217(10):4960-4971
Consider a GI/M/1 queue with single working vacation. During the vacation period, the server works at a lower rate rather than stopping completely, and only takes one vacation each time. Using the matrix analytic approach, the steady-state distributions of the number of customers in the system at both arrival and arbitrary epochs are obtained. Then the closed property of the conditional probability of gamma distribution is proved and using it the waiting time of an arbitrary customer is analyzed. Finally, Some numerical results and effect of critical model parameters on performance measures have been presented. 相似文献
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This paper treats the discrete time Geometric/G/1 system with vacations. In this system, after serving all customers in the system, the server will take a random maximum number of vacations before returning to the service mode. The stochastic decomposition property of steady-state queue length and waiting time has been proven. The busy period, vacation mode period, and service mode period distributions are also derived. Several common vacation policies are special cases of the vacation policy presented in this study. 相似文献
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We consider finite buffer single server GI/M/1 queue with exhaustive service discipline and multiple working vacations. Service times during a service period, service times during a vacation period and vacation times are exponentially distributed random variables. System size distributions at pre-arrival and arbitrary epoch with some important performance measures such as, probability of blocking, mean waiting time in the system etc. have been obtained. The model has potential application in the area of communication network, computer systems etc. where a single channel is allotted for more than one source. 相似文献
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We considerG/M/1 queues with multiple vacation discipline, where at the end of every busy period the server stays idle in the system for a period of time called changeover time and then follows a vacation if there is no arrival during the changeover time. The vacation time has a hyperexponential distribution. By using the methods of the shift operator and supplementary variable, we explicitly obtain the queue length probabilities at arrival time points and arbitrary time points simultaneously. 相似文献