The Italian MIUR PLATINO project and the EU FP7 FI-WARE and FI-Core projects represent major milestones in the path towards the design of the Future Internet. In the authors’ vision, the Future Internet overall target is to allow applications to transparently, efficiently and flexibly exploit the available network resources with the aim of matching the users’ expectations. In this respect, the present work details a Reinforcement Learning based Quality of Experience Control conceptual framework able to seamlessly operate in the Future Internet.
A Dynamic Approach to Quality of Experience Control in Cognitive Future Internet Networks
RICCIARDI CELSI L;
2015-01-01
Abstract
The Italian MIUR PLATINO project and the EU FP7 FI-WARE and FI-Core projects represent major milestones in the path towards the design of the Future Internet. In the authors’ vision, the Future Internet overall target is to allow applications to transparently, efficiently and flexibly exploit the available network resources with the aim of matching the users’ expectations. In this respect, the present work details a Reinforcement Learning based Quality of Experience Control conceptual framework able to seamlessly operate in the Future Internet.File in questo prodotto:
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