【摘要】 经典的排队论分析方法一般通过建立Markov链模型,对其稳态参数进行求解,但在Markov链状态数较多时,该求解平衡方程的过程将变得较为困难,甚至于无法求解。采用基于事件调度的离散系统仿真方法,给出了一种排队系统的仿真方法,并对一个排队系统进行了蒙特卡罗(MonteCarlo)仿真。仿真结果证明,该方法求解迅速,结果误差较小。更多还原

【Abstract】 Generally classical queuing theory analysis method sets up a model based on Markov chains,and solves the answers on ste ady status of the model,but when the s tatuses amount is large,it is difficult to obtain the numerical re sults of the balance equations,even it cannot be solved numerically.In this paper,based on event schedulin g method for discrete system simulation,a simulation way of queuing system is presented,and it is used to perform Monte Carlo simulation.Num erical results show that this method is quickly and has low error.更多还原