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

Moradpoor?, N; Parr, G; Mcclean, S; Scotney, B; Owusu, Gilbert

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.

Citation

Moradpoor‫, N., Parr, G., Mcclean, S., Scotney, B., & Owusu, G. (2009, March). Real-Time Data Analytics in Support of Network Resource Management Protocols. Presented at 10th Annual PostGraduate Symposium on The Convergence of Telecommunications, Networking and Broadcasting, Liverpool, UK

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 10th Annual PostGraduate Symposium on The Convergence of Telecommunications, Networking and Broadcasting
• Start Date: Mar 1, 2009
• End Date: Mar 1, 2009
• Acceptance Date: Mar 1, 2009
• Publication Date: May 1, 2009
• Deposit Date: Feb 28, 2017
• Publicly Available Date: Feb 28, 2017
• Book Title: Proceedings of 10th PGNET
• ISBN: 978-1-902560-22-9
• Keywords: Resource Management; Data Mining; Optimisation; Next Generation Networks
• Public URL: http://researchrepository.napier.ac.uk/Output/690329
• Contract Date: Feb 28, 2017