CDR analysis using big data technology

Call Detail Records (CDR) is a valuable source of information; it opens new opportunities for telecom industry and maximize its revenues as well as it helps the community to raise its standard of living in many different ways. However, we need to analyze CDRs in order to extract its big value. But C...

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Main Authors:	Elagib, Sara B., Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/49821/ http://irep.iium.edu.my/49821/ http://irep.iium.edu.my/49821/ http://irep.iium.edu.my/49821/1/49821.pdf http://irep.iium.edu.my/49821/4/49821_CDR%20analysis%20using%20Big%20Data%20technology_Scopus.pdf

id	iium-49821
recordtype	eprints
spelling	iium-498212017-10-11T08:15:03Z http://irep.iium.edu.my/49821/ CDR analysis using big data technology Elagib, Sara B. Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke TK7885 Computer engineering Call Detail Records (CDR) is a valuable source of information; it opens new opportunities for telecom industry and maximize its revenues as well as it helps the community to raise its standard of living in many different ways. However, we need to analyze CDRs in order to extract its big value. But CDRs has a huge volume, variety of data and high data rate, while current telecom systems are designed without these issues in mind. CDRs can be seen as Big Data source, and hence, it is applicable to use Big Data technologies (storage, processing and analysis) in CDR analytics. There are considerable research efforts to address the CDR analysis challenges. This paper presents the use of Big Data technology in CDR analysis by giving some CDR analytics based application examples, highlighting their architecture, the utilized Big Data tools and techniques, and the CDR use case scenarios. IEEE 2016-01-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/49821/1/49821.pdf application/pdf en http://irep.iium.edu.my/49821/4/49821_CDR%20analysis%20using%20Big%20Data%20technology_Scopus.pdf Elagib, Sara B. and Hassan Abdalla Hashim, Aisha and Olanrewaju, Rashidah Funke (2016) CDR analysis using big data technology. In: 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCCNEE 2015), 7th-9th Dec. 2015, Khartoum, Sudan. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7381414&tag=1 10.1109/ICCNEEE.2015.7381414
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Elagib, Sara B. Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke CDR analysis using big data technology
description	Call Detail Records (CDR) is a valuable source of information; it opens new opportunities for telecom industry and maximize its revenues as well as it helps the community to raise its standard of living in many different ways. However, we need to analyze CDRs in order to extract its big value. But CDRs has a huge volume, variety of data and high data rate, while current telecom systems are designed without these issues in mind. CDRs can be seen as Big Data source, and hence, it is applicable to use Big Data technologies (storage, processing and analysis) in CDR analytics. There are considerable research efforts to address the CDR analysis challenges. This paper presents the use of Big Data technology in CDR analysis by giving some CDR analytics based application examples, highlighting their architecture, the utilized Big Data tools and techniques, and the CDR use case scenarios.
format	Conference or Workshop Item
author	Elagib, Sara B. Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke
author_facet	Elagib, Sara B. Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke
author_sort	Elagib, Sara B.
title	CDR analysis using big data technology
title_short	CDR analysis using big data technology
title_full	CDR analysis using big data technology
title_fullStr	CDR analysis using big data technology
title_full_unstemmed	CDR analysis using big data technology
title_sort	cdr analysis using big data technology
publisher	IEEE
publishDate	2016
url	http://irep.iium.edu.my/49821/ http://irep.iium.edu.my/49821/ http://irep.iium.edu.my/49821/ http://irep.iium.edu.my/49821/1/49821.pdf http://irep.iium.edu.my/49821/4/49821_CDR%20analysis%20using%20Big%20Data%20technology_Scopus.pdf
first_indexed	2023-09-18T21:10:23Z
last_indexed	2023-09-18T21:10:23Z
_version_	1777411212648120320

CDR analysis using big data technology

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