This paper presents results of an experimental study focused on predictive modeling of the relations between the user perception, user satisfaction and objective technical parameters in data communication services. A new model for prediction of user satisfaction was devised using probability theory based on Markov chain. Two experiments were completed for web browsing scenarios, confirming that previous user experience has significant effect on the user perception of quality and should represent a vital element of future predictive user models. This model can significantly improve level of user satisfaction with services in telecommunications systems if implemented within advanced system design, optimization and quality assurance procedures.
This paper shows the possibilities of optimizing the process of measurement by using a widely spread Android devices. By using the open source tools the measurement applications can be offered to a vast community providing huge datasets and lowering the overall measurement costs.
The paper presents applications for network monitoring based on intelligent communication platform that can also be used to support various usage scenarios related to future internet of things. Applications presented include real time DSL access line monitoring and IPTV monitoring, correlated with lightning reports. The solution is used in the field of proactive monitoring, enabling the operator's helpdesk and field technical teams to pinpoint the cause of service degradations.