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

Naghmeh Moradpoor; Gerard Parr; Sally McClean; Bryan Scotney; Gilbert Owusu

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

Naghmeh Moradpoor, Gerard Parr, Sally McClean, Bryan Scotney, Gilbert Owusu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 OAMP 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 OAMP 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.

Original language	English
Title of host publication	The 10th Annual Conference on teh Convergence of Telecommunications, Networking Broadcasting
Publisher	PGNet
Publication status	Published - 1 Jun 2009

Keywords

Resource Management
Data Mining
Optimisation
Next Generation Networks

Cite this

@inproceedings{7972323ffb13434485aede406e72d30f,

title = "Real-Time Data Analytics in Support of Network Resource Management Protocols",

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 OAMP 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 OAMP 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.",

keywords = "Resource Management, Data Mining, Optimisation, Next Generation Networks",

author = "Naghmeh Moradpoor and Gerard Parr and Sally McClean and Bryan Scotney and Gilbert Owusu",

year = "2009",

month = jun,

day = "1",

language = "English",

booktitle = "The 10th Annual Conference on teh Convergence of Telecommunications, Networking Broadcasting",

publisher = "PGNet",

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TY - GEN

T1 - Real-Time Data Analytics in Support of Network Resource Management Protocols

AU - Moradpoor, Naghmeh

AU - Parr, Gerard

AU - McClean, Sally

AU - Scotney, Bryan

AU - Owusu, Gilbert

PY - 2009/6/1

Y1 - 2009/6/1

N2 - 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 OAMP 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 OAMP 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.

AB - 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 OAMP 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 OAMP 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.

KW - Resource Management

KW - Data Mining

KW - Optimisation

KW - Next Generation Networks

M3 - Conference contribution

BT - The 10th Annual Conference on teh Convergence of Telecommunications, Networking Broadcasting

PB - PGNet

ER -