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Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Basher, Abul, Parr, Gerard, McClean, Sally, Scotney, BW and Nauck, Detlef (2010) Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management. In: KSEM 2010, Belfast. Springer LNCS. Vol 6291 12 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1007/978-3-642-15280-1_47

Abstract

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.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:19095
Deposited By:Professor Sally McClean
Deposited On:18 Jul 2011 16:22
Last Modified:18 Jul 2011 16:22

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