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System capacity and performance modelling of finite buffer queueing networks

机译:有限缓冲区排队网络的系统容量和性能建模

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Estimating the performance measures of M/G/c/K queues and queueing networks with finite buffers and general service times is a complex and challenging problem. This paper presents an effective two-moment approach for calculating the state probability distribution of the performance measures of the queues in these systems. Performance measures of throughput (θ), the work-in-process (WIP) and sojourn or cycle time (T) are estimated. The generalised expansion method is employed to calculate the network performance measures of the topologies and extensive computational experiments are provided. It is shown that the performance measures of WIP and sojourn time for multi-server exponential systems have an s-shaped function and this measure is extended to networks. It is argued that this relates directly to the system capacity of queues in finite buffer queueing networks. Series, merge and splitting topologies of finite buffer multi-server queueing networks are then examined. Numerous experiments involving the given topological configurations are demonstrated and the s-shaped behaviour of the overall system performance measures for system capacity are explained.
机译:估计具有有限缓冲区和一般服务时间的M / G / c / K队列和排队网络的性能指标是一个复杂而具有挑战性的问题。本文提出了一种有效的两步法来计算这些系统中队列性能度量的状态概率分布。估算了吞吐量(θ),在制品(WIP)和暂停或循环时间(T)的性能指标。采用广义扩展方法来计算拓扑的网络性能指标,并提供了广泛的计算实验。结果表明,在多服务器指数系统中,WIP的性能度量和停留时间具有S形函数,并且该度量扩展到了网络。有人认为这直接关系到有限缓冲区排队网络中队列的系统容量。然后检查有限缓冲区多服务器排队网络的串联,合并和拆分拓扑。演示了涉及给定拓扑配置的众多实验,并说明了系统容量的总体系统性能度量的S形行为。

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