Prototipo para la Evaluación de Calidad de Servicio Mediante Técnicas de Encolamiento en Ambientes de Backbone

The cost in infraestructure and access to emerging technologies on telecommunications networks, made necessary to have a mechanisms the quality of service assessment using queuening based. Objective in this article was evaluate different technical modeled various scenes of campus backbone network, in order to compare his performance using the tool of simulation OPNET. The evaluation aimed to the measurement of keys variables in the performance networks like delay, packet loss and jitter, among others. Are show here the results once these were gotten from utilization mechanism when granting differentiation to sensitive traffics to present factors of congestion in IP networks, such like traffic in real time; collecting a significant improvement in the network performance.El costo en infraestructura y acceso a tecnologías emergentes en redes de telecomunicaciones, hizo necesario disponer de un planteamiento de evaluación de Calidad de Servicio utilizando mecanismos de encolamiento basado en simulación. El objetivo en este artículo fue evaluar diferentes técnicas de encolamiento modeladas bajo diversos escenarios de campus de redes backbone, para comparar su desempeño usando la herramienta de simulación OPNET. La evaluación apuntó hacia la medición de variables claves en el desempeño de la red como retraso, pérdida de paquetes y variación del retraso (jitter), entre otras. Son presentados aquí los resultados obtenidos en la utilización de éstos mecanismos al momento de otorgar diferenciación a tráficos sensibles a factores de congestión presentes en las redes IP, tales como tráfico en tiempo real; obteniendo un significativo mejoramiento en el desempeño de la red

Investigation of an intelligent personalised service recommendation system in an IMS based cellular mobile network

Success or failure of future information and communication services in general and mobile communications in particular is greatly dependent on the level of personalisations they can offer. While the provision of anytime, anywhere, anyhow services has been the focus of wireless telecommunications in recent years, personalisation however has gained more and more attention as the unique selling point of mobile devices. Smart phones should be intelligent enough to match user’s unique needs and preferences to provide a truly personalised service tailored for the individual user. In the first part of this thesis, the importance and role of personalisation in future mobile networks is studied. This is followed, by an agent based futuristic user scenario that addresses the provision of rich data services independent of location. Scenario analysis identifies the requirements and challenges to be solved for the realisation of a personalised service. An architecture based on IP Multimedia Subsystem is proposed for mobility and to provide service continuity whilst roaming between two different access standards. Another aspect of personalisation, which is user preference modelling, is investigated in the context of service selection in a multi 3rd party service provider environment. A model is proposed for the automatic acquisition of user preferences to assist in service selection decision-making. User preferences are modelled based on a two-level Bayesian Metanetwork. Personal agents incorporating the proposed model provide answers to preference related queries such as cost, QoS and service provider reputation. This allows users to have their preferences considered automatically