Abstract
Mobile networks are more and more a key element in how users access services. Users’ perception of access to services is difficult to be grasped and enhanced if degraded. Adaptive Quality of Experience (AQoE) aims to provide a comprehensive framework for predicting and preventing QoE degradation situations. This paper provides a high-level architectural model for managing communication service providers’ (CSP) mobile networks. AQoE relies on real-time big data analysis techniques to measure and anticipate QoE to allow CSP’s to perform actions to maintain a certain level of QoE. Thus, CSP’s can adapt users’ QoE dynamically and pro-actively in order to deal with service experience degradations in mobile networks.
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© 2015 Springer International Publishing Switzerland
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Bascuñana, A., Lorenzo, M., Monjas, MÁ., Sánchez, P. (2015). Adaptive Quality of Experience: A Novel Approach to Real-Time Big Data Analysis in Core Networks. In: Morzy, T., Valduriez, P., Bellatreche, L. (eds) New Trends in Databases and Information Systems. ADBIS 2015. Communications in Computer and Information Science, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-23201-0_26
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DOI: https://doi.org/10.1007/978-3-319-23201-0_26
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