Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management

Abul Basher, Gerard Parr, Sally McClean, BW Scotney, Detlef Nauck

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


The ever-evolving nature of telecommunication networks has put enormous pressure on contemporary Network Management Systems (NMSs) to come up with improved functionalities for efficient monitoring, control and management. In such a context, the rapid deployments of Next Generation Networks (NGN) and their management requires intelligent, autonomic and resilient mechanisms to guarantee Quality of Service (QoS) to the end users and at the same time to maximize revenue for the service/network providers. We present a framework for evaluating a Bayesian Networks (BN) based Decision Support System (DSS) for assisting and improving the performance of a Simple Network Management Protocol (SNMP) based NMS. More specifically, we describe our methodology through a case study which implements the function of Call Admission Control (CAC) in a multi-class video conferencing service scenario. Simulation results are presented for a proof of concept, followed by a critical analysis of our proposed approach and its application.
Original languageEnglish
Title of host publicationUnknown Host Publication
Number of pages12
ISBN (Print)10.1007/978-3-642-15280-1_47
Publication statusPublished (in print/issue) - 1 Sept 2010
EventKSEM 2010 - Belfast
Duration: 1 Sept 2010 → …


ConferenceKSEM 2010
Period1/09/10 → …


Dive into the research topics of 'Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management'. Together they form a unique fingerprint.

Cite this