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A performance model of a telecommunications network structured according to intelligent network principles

Newcombe, A. G (1997) A performance model of a telecommunications network structured according to intelligent network principles. Master of Engineering thesis, Dublin City University.

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Abstract

The Intelligent Network (IN) is an telecommunications services architecture which enables the rapid creation and deployment of supplementary telecommunications services. However, this flexibility makes the management of the network performance critical in ensuring that customers receive their expected Quality of Service. This thesis describes a model which has been developed to predict the delays in the network due to IN-specific service processing. The model proposed is a queuing network which builds on the existing state of the art as follows. The characteristics of the flows between the IN physical entities are considered and general service time distributions are assumed at each entity. Additionally, the model allows the reservation of capacities as the SCP for each service type. An analytic formulation was developed using the decomposition approximate method. The model was also simulated in order to ascertain its’ accuracy. The results of the analytic solution and the simulation were compared for different scenarios and the results are presented in this thesis. The analytic approximation was found to be a very good solution for situations where network utilisation was low or medium. As the utilisation of the network increases to higher utilisation factors, the accuracy of the analytic solution decreases.

Item Type:Thesis (Master of Engineering)
Date of Award:1997
Refereed:No
Supervisor(s):Curran, Thomas
Uncontrolled Keywords:Intelligent networks; Quality of Service; QoS; Network efficiency
Subjects:Computer Science > Computer networks
Engineering > Electronic engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:19138
Deposited On:04 Sep 2013 12:01 by Celine Campbell. Last Modified 04 Sep 2013 12:01

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