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

Abstract

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.

Authors and Affiliations

Errais Mohammed, Rachdi Mohamed, Al Sarem Mohammed, Abdel Hamid Mohamed Emara

Keywords

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  • EP ID EP646221
  • DOI 10.14569/IJACSA.2019.0100978
  • Views 71
  • Downloads 0

How To Cite

Errais Mohammed, Rachdi Mohamed, Al Sarem Mohammed, Abdel Hamid Mohamed Emara (2019). Towards A Proactive System for Predicting Service Quality Degradations in Next Generation of Networks based on Time Series. International Journal of Advanced Computer Science & Applications, 10(9), 592-598. https://europub.co.uk/articles/-A-646221