Degree Name

Master of Information & Communication Technology - Research


School of Information Systems and Technology - Faculty of Informatics


This thesis assesses the appropriateness and effectiveness of discrete event simulation technique to understand and manage service elements in the ISP (Internet Service Provider) context. The baseline for this research involved the secondary data published by ABS (Australian Bureau of Statistics) and TIO (Telecommunications Industry Ombudsman) involving ISP numbers, Internet issues/complaints data. As many relatively new services are being offered, ISPs are finding it difficult to cope with varying customer expectations and their future technology expectancy. Access to infrastructure, avoiding anti—competitive behaviour from large players and service differentiation has become more important than ever for their survival. A number of challenges such as lack of provision of good quality service, lack of ability to cope with increasing (or varying) customer demands and expectations and lack of flexibility in providing services need to be overcome. The service environment in networking has focused heavily on the technical side and very little attention has been given to functional variables such as complaints handling, aligning technical and functional service quality processes and effective service recovery during service failures. Relying fully on the technical side obscures the nature of service. This research identified the fact that end users’ perspective of quality of services need to consider not only the inherent quality of the network, but also the service quality provided by the ISP. Users perceive poor service quality provided by their ISP if they do not get help desk support required from using the ISP services. This can turn a complaint about a problem in to a complaint about the company.

The research question is answered by this thesis “What is it that the use of discrete event simulation technique can contribute to the understanding and managing service quality data for different ISP service operations?”

The research methodology chosen was discrete event simulation methodology. The discrete event technique involves building up models based on the dynamic behavior of a network system as the time progresses. The appropriateness and effectiveness of this technique was tested by modelling technical service elements (modelling policy based networks using differentiated service schemes, alarm based network management system for effective service level agreement monitoring) and key functional elements that determine ISP non-technical service performance (ISP complaints handling, ISP call centre performance variables). The scenarios led to the development of an integrative simulation framework that addresses both user level service quality issues and network system oriented service quality issues. In the past user level service quality issues have been provided with negligible importance. The framework developed can help ISPs to model service attributes and use the results from such simulation studies to make competitive marketing decisions. The issues raised before and after simulation can be compared for effective service design. To achieve service excellence ISPs have to understand the interrelationship between various service quality dimensions such as tangibles, reliability, responsiveness, assurance and empathy and how these dimensions affect customer perception of ISP service quality. In conclusion the research found that discrete event simulation can be used to understand and manage service quality data by internet service providers involving different ISP service operations.

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