Ulster University Logo

Ulster Institutional Repository

Modelling and evaluation of a policy-based resource management framework for converged next generation networks

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

Yerima, Suleiman, Parr, Gerard, McClean, Sally and Morrow , Philip (2011) Modelling and evaluation of a policy-based resource management framework for converged next generation networks. In: IFIP/IEEE International Symposium on Integrated Network Management, Dublin, Ireland. IEEE. 8 pp. [Conference contribution]

[img]PDF
1764Kb

DOI: 10.1109/INM.2011.5990560

Abstract

As fixed and wireless access networks converge to­wards Internet Protocol based transport in next generation net­works, the requirement for effective and scalable control and management solutions to address the complexity introduced by their heterogeneity becomes ever more critical. Over the years, policy-based management has emerged as a viable tool to address this challenge. Within the IV-ATC project, we are developing a policy-based framework, (Converged Networks QoS Framework, CNQF) for end-to-end QoS control and resource management in converged next generation networks. CNQF is designed to sup­port QoS control and context-driven resource management poli­cies across all networks (access, metro, core) on the end-to-end transport layer of converged networks. This paper describes CNQF and develops an exemplary use case scenario for policy­based resource management based on our CNQF architecture. The paper also presents the development of stochastic-analytic models to characterise and evaluate the impact of policies on op­erational performance. The model is used to analyse the perfor­mance of dynamic CNQF context-driven policies for admission control case study.

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:22016
Deposited By:Dr Cathryn Peoples
Deposited On:08 May 2012 15:54
Last Modified:08 May 2012 15:54

Repository Staff Only: item control page