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In this book, we formulated an intelligent Quality of Service provisioning model with a view to improving the perceived response time of e-commerce clients, while effectively optimizing the limited resources using the fuzzy expert system. A prototype of the model was implemented as a web based n-tier application comprising of the client tier, the web tier and the enterprise tier using Java 2 Enterprise Edition (J2EE) language. The performance of the model was investigated using a simulation program developed in MATLAB modelling language.In the simulation, clients systems characteristics, their…mehr

Produktbeschreibung
In this book, we formulated an intelligent Quality of Service provisioning model with a view to improving the perceived response time of e-commerce clients, while effectively optimizing the limited resources using the fuzzy expert system. A prototype of the model was implemented as a web based n-tier application comprising of the client tier, the web tier and the enterprise tier using Java 2 Enterprise Edition (J2EE) language. The performance of the model was investigated using a simulation program developed in MATLAB modelling language.In the simulation, clients systems characteristics, their purchase histories and page sizes after a search operation is performed were randomly generated from statistical distributions.The simulation result revealed a good performance of the model over the Internet Best Effort model. specifically, the model will provide an effective management of quality of service of web applications in environments where computing and network resources are limite
Autorenporträt
Has a PhD degree in Computer Science from the Obafemi Awolowo University, Ile-Ife, Nigeria. His research interests include artificial intelligence, image processing, and information systems. He has published in journals of repute and learned conferences.