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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Main Author: Khan, Chy. Mohammed Tawsif
Format: Thesis
Published: 2018
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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