Approximation for the departure process of a queue in a network

S. Albin, S. Kai
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引用次数: 23

Abstract

A simple renewal process is identified to approximate the complex departure process of a queue often found in queueing network models. The arrival process to the queue is the superposition or merging of several independent component-renewal processes that are approximations of departure processes from other queues and external arrival processes; there is a single server with exponential service times, and the waiting space is infinite. The departure process of this queue is of interest because it is the arrival process to other queues in the network. The approximation proposed is a hybrid; the mean and variance of the approximating departure intervals is a weighted average of those determined by basic methods in Whitt [41] with the weighting function empirically determined using simulation. Tandem queueing systems with superposition arrival processes and exponential service times are used to evaluate the approximation. The departure process of the first queue in the tandem is approximated by a renewal process, the tandem system is replaced by two independent queues, and the second queue is solved analytically. When compared to simulation estimates, the average absolute error in hybrid approximations of the expected number in the second queue is 6%, a significant improvement over 22–41% in the basic methods.
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网络中队列出发过程的近似
本文确定了一个简单的更新过程,以近似于排队网络模型中常见的复杂的队列出发过程。队列的到达过程是几个独立的组件更新过程的叠加或合并,这些过程是来自其他队列的离开过程和外部到达过程的近似;单台服务器服务时间呈指数级增长,等待空间是无限的。这个队列的出发过程很有趣,因为它是网络中其他队列的到达过程。所提出的近似是一种混合近似;近似偏离区间的均值和方差是Whitt[41]中基本方法确定的均值和方差的加权平均值,加权函数是通过模拟经验确定的。采用具有叠加到达过程和指数服务时间的串列排队系统来评估近似。将串联系统中第一个队列的出发过程近似为更新过程,将串联系统替换为两个独立的队列,并对第二个队列进行解析求解。与模拟估计相比,第二队列中期望数量的混合近似的平均绝对误差为6%,比基本方法的22-41%有显着改善。
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