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Properties and performance modelling of finite buffer M/G/l/K networks

机译:有限缓冲区M / G / l / K网络的属性和性能建模

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Finite buffer, single-server queueing systems and networks are difficult to analyze since the length of time a customer spends in the system does not follow the Markovian property. A two-moment approximation schema is developed for the probability distribution of M/G/l/K systems and extended to the analysis of M/C/l/K queueing networks. The general purpose of this paper is to develop a flexible and practical transform-free approach for computing the probability distribution and performance measures of the system as well as identify the underlying properties of these systems. It is shown that for most performance measures, a sigmoid or S-shaped curve with an inflection point at p = 1 appears as K→∞. This has direct implications for the analysis and optimization of such systems. The performance modelling of the M/C/l/K queueing networks of general topologies along with extensive numerical results accompany the paper along with the linear concave performance measures for these systems.
机译:有限的缓冲区,单服务器排队系统和网络很难分析,因为客户在系统中花费的时间长短不遵循马尔可夫属性。建立了两步近似方案,用于M / G / l / K系统的概率分布,并扩展到M / C / l / K排队网络的分析。本文的总体目的是开发一种灵活而实用的无变换方法,用于计算系统的概率分布和性能指标,并确定这些系统的基本属性。结果表明,对于大多数性能指标,拐点为p = 1的S形或S形曲线出现为K→∞。这直接影响到此类系统的分析和优化。通用拓扑的M / C / l / K排队网络的性能建模以及广泛的数值结果,以及针对这些系统的线性凹入性能度量,均与本文相伴。

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