CDR analysis using big data technology

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	2523/49821
Uncontrolled Keywords:	CDR, Big Data, Telecom, analysis, Parallel DBMS, MapReduce.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited:	18 Mar 2016 14:44
Last Modified:	11 Oct 2017 16:15
URI:	http://irep.iium.edu.my/id/eprint/49821

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