Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest

The customer satisfaction of the clients of broadband network mostly depend on robustness of the service offered by Internet Service Providers (ISP)s. Providing uninterrupted network service is essential in this communication era even though interruption in internet connection is unavoidable. Howeve...

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Bibliographic Details
Main Author:	Khan, Chy. Mohammed Tawsif
Format:	Thesis
Published:	2018
Subjects:	QA75.5-76.95 Electronic computers Computer science
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id	my-mmu-ep.7731
record_format	uketd_dc
spelling	my-mmu-ep.77312020-09-18T05:19:36Z Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest 2018-11 Khan, Chy. Mohammed Tawsif QA75.5-76.95 Electronic computers. Computer science The customer satisfaction of the clients of broadband network mostly depend on robustness of the service offered by Internet Service Providers (ISP)s. Providing uninterrupted network service is essential in this communication era even though interruption in internet connection is unavoidable. However, if it is predicted earlier, the consequences can be minimised. So, it is very essential to accurately forecast the faults in internet connection for telecommunication companies. However, currently the companies do not have real-time fault prediction system to solve the issue. This system may help to reduce future operational expenses to some extend and it may enable to perform preventive actions as far as possible. Hence, the objective of this thesis is to develop a suitable tool to predict the network fault. The proposed tool is a combination of Complex Event Processing (CEP) and Predictive Analytics (PA). The PA is used to predict network fault using Random Forest Classifier and CEP is used to perform the prediction in real-time on streaming events. 2018-11 Thesis http://shdl.mmu.edu.my/7731/ http://library.mmu.edu.my/library2/diglib/mmuetd/ masters Multimedia University Faculty of Engineering & Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Khan, Chy. Mohammed Tawsif Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest
description	The customer satisfaction of the clients of broadband network mostly depend on robustness of the service offered by Internet Service Providers (ISP)s. Providing uninterrupted network service is essential in this communication era even though interruption in internet connection is unavoidable. However, if it is predicted earlier, the consequences can be minimised. So, it is very essential to accurately forecast the faults in internet connection for telecommunication companies. However, currently the companies do not have real-time fault prediction system to solve the issue. This system may help to reduce future operational expenses to some extend and it may enable to perform preventive actions as far as possible. Hence, the objective of this thesis is to develop a suitable tool to predict the network fault. The proposed tool is a combination of Complex Event Processing (CEP) and Predictive Analytics (PA). The PA is used to predict network fault using Random Forest Classifier and CEP is used to perform the prediction in real-time on streaming events.
format	Thesis
qualification_level	Master's degree
author	Khan, Chy. Mohammed Tawsif
author_facet	Khan, Chy. Mohammed Tawsif
author_sort	Khan, Chy. Mohammed Tawsif
title	Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest
title_short	Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest
title_full	Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest
title_fullStr	Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest
title_full_unstemmed	Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest
title_sort	application of complex event processing for broadband network fault prediction using random forest
granting_institution	Multimedia University
granting_department	Faculty of Engineering & Technology
publishDate	2018
_version_	1747829668944281600

Application Of Complex Event Processing For Broadband Network Fault Prediction Using Random Forest

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