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The architecture of Next Generation of networks (NGN) aims to diversify the offer of operators in added value services. To do this, NGN offers a heterogeneous architecture for the services deployment. This poses significant challenges in terms of end-to-end assurance of services. For this purpose, we propose in this work the establishment of a proactive autonomous system, capable of ensuring an acceptable quality level according to Service Level Agreement (SLA) requirements. A system that is able to predict any QoS degradation due to the prediction model based on time series adapted to NGN. Keywords—Next Generation of Network (NGN); network management; enhanced Telecom Operation Management (eTOM) frameworks; prediction; time series; Ip Multimedia Subsystem (IMS); Service Level Agreement (SLA); Quality Of Service (QoS)

Towards A Proactive System for Predicting Service Quality Degradations in Next Generation of Networks based on Time Series