23,312 research outputs found

    What is it that the application of modelling and simulation can contribute towards understanding and managing service quality data for internet service providers (ISP) in Australia?

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    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

    An Improved Optimization Model of Internet Charging Scheme in Multi Service Networks

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    This article will analyze new improved charging scheme with base price, quality premium and QoS networks involved. Sain and Herpers [5] already attempted to obtain revenue maximization by creating charging scheme of internet. The plan is attempted to solve multi service networks scheme as an optimization model to obtain revenue maximization using our improved model based on Byun and Chatterjee [2] and Sain and Herpers [5]. The results show that improved model can be solved optimally using optimization tool LINGO to achieve better revenue maximization. Better results are obtained in all cases rather than in [5]. The advantage of our new model is that ISP also can set up their base price and quality premium based on ISP preferences. For some cases for getting revenue maximization, we do not offer one service and just utilize some of the services

    Net neutrality, network capacity and innovation at the edges

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    We study how net neutrality regulations affect a high-bandwidth content provider (CP)'s investment incentives to enhance its quality of services (QoS) in content delivery to end users. We find that the effects crucially depend on whether the CP's entry decision is constrained by the Internet service provider (ISP)'s network capacity. If capacity is relatively large, prioritized services reduce the QoS investment as they become substitutes, but improve trafic management. With limited capacity, by contrast, prioritized delivery services are complementary to the CP's investments and can facilitate entry of congestionsensitive content; however, this creates more congestion for other existing content. Our analysis suggests that the optimal policy may call for potentially asymmetric regulations across mobile and fixed networks

    Net neutrality, Network capacity and Innovation at the Edges

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    We study how net neutrality regulations affect a high-bandwidth content provider (CP)'s investment incentives to enhance its quality of services (QoS) in content delivery to end users. We find that the effects crucially depend on whether the CP's entry decision is constrained by the Internet service provider (ISP)'s network capacity. If capacity is relatively large, prioritized services reduce the QoS investment as they become substitutes, but improve trafic management. With limited capacity, by contrast, prioritized delivery services are complementary to the CP's investments and can facilitate entry of congestionsensitive content; however, this creates more congestion for other existing content. Our analysis suggests that the optimal policy may call for potentially asymmetric regulations across mobile and fixed networks

    Net neutrality, Network capacity and Innovation at the Edges

    Get PDF
    We study how net neutrality regulations affect a high-bandwidth content provider (CP)'s investment incentives to enhance its quality of services (QoS) in content delivery to end users. We find that the effects crucially depend on whether the CP's entry decision is constrained by the Internet service provider (ISP)'s network capacity. If capacity is relatively large, prioritized services reduce the QoS investment as they become substitutes, but improve trafic management. With limited capacity, by contrast, prioritized delivery services are complementary to the CP's investments and can facilitate entry of congestionsensitive content; however, this creates more congestion for other existing content. Our analysis suggests that the optimal policy may call for potentially asymmetric regulations across mobile and fixed networks
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