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Real-Time Data Analytics in Support of Network Resource Management Protocols

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

Moradpoor, Naghmeh, Parr, Gerard, McClean, Sally, Scotney, Bryan and Owusu, Gilbert (2009) Real-Time Data Analytics in Support of Network Resource Management Protocols. In: The 10th Annual Conference on teh Convergence of Telecommunications, Networking & Broadcasting, Liverpool. PGNet. 6 pp. [Conference contribution]

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Abstract

Communications Networks Resource Management (RM) functions such as dynamic and static resource usage monitoring, real time resource reservation as well as advance resource reservation have been widely studied in the past few years. Research has been investigating variant techniques for addressing RM problems in different fixed and wireless networks. One of the key observations is that with the increased complexity of these networks, the function of providing real-time OAM&P has resulted in an ever increased network element MIB attribute polling resulting in a data mountain. The key issue is to extract intelligence from this data using data analytical tools in an efficient manner if it is to have any impact on optimising real-time network resource utilisation as a function of demand. This paper reviews some of the recent techniques conducted in RM for different domains. We discuss data management (DM) in telecommunications and try to depict its role to support our real-time data analytics within the OAM&P functions. The main purpose of this paper is to investigate RM components in groups of networks (ATM, MPLS, Wireless, EPONs) and indicate recent solutions for each group.

Item Type:Conference contribution (Paper)
Keywords:Resource Management, Data Mining, Optimisation, Next Generation Networks
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:21998
Deposited By:Dr Cathryn Peoples
Deposited On:08 May 2012 16:10
Last Modified:08 May 2012 16:10

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