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Evaluation of the queueing network equilibrium based on clustering analysis and self-organising map

机译:基于聚类分析和自组织图的排队网络均衡评价

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摘要

In this paper a new approach to the network local-balance estimation is presented on the base of clustering and neural modelling, in which the cluster centres can replace the steady states of the Markov chain. The equilibrium of queueing networks is a mean for performance evaluation of real communication systems presented as Markov chains. The new approach was developed for local-balance performance evaluation, which was based on calculations of the steady-state probability vector with use of neural modelling and clustering. The experimental results are obtained with use of clustering analysis and self-organising map, and the proposed method is compared with direct techniques on the base of obtained results.
机译:本文在聚类和神经网络建模的基础上,提出了一种新的网络局部平衡估计方法,其中聚类中心可以代替马尔可夫链的稳态。排队网络的平衡是评估以马尔可夫链表示的实际通信系统性能的一种手段。开发了用于局部平衡性能评估的新方法,该方法基于使用神经建模和聚类计算稳态概率矢量的结果。利用聚类分析和自组织图获得了实验结果,并在获得的结果的基础上将该方法与直接技术进行了比较。

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