A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology

Telecom Call Details Record (CDR) data-set is considered a rich source of valuable information that will bring new big revenues to Communication Service providers (CSP) as well as it will empower many out-telco services such as transportation, education, health programs, and business analysis in res...

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Main Authors:	Elagib, Sara B., Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke
Format:	Article
Language:	English English
Published:	American Scientific Publishers 2017
Subjects:	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/62685/ http://irep.iium.edu.my/62685/ http://irep.iium.edu.my/62685/ http://irep.iium.edu.my/62685/1/62685_A%20Proposed%20Architecture%20for%20Generic%20and%20Scalable%20CDR%20_article.pdf http://irep.iium.edu.my/62685/2/62685_A%20Proposed%20Architecture%20for%20Generic%20and%20Scalable%20CDR%20_scopus.pdf

id	iium-62685
recordtype	eprints
spelling	iium-626852018-05-07T01:34:54Z http://irep.iium.edu.my/62685/ A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology Elagib, Sara B. Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) Telecom Call Details Record (CDR) data-set is considered a rich source of valuable information that will bring new big revenues to Communication Service providers (CSP) as well as it will empower many out-telco services such as transportation, education, health programs, and business analysis in resource management and planning, decision making, and processes optimization. However, extracting these valuable information from raw CDRs with the classical SQL and BI systems is very costly and has poor performance measures. This is due to the big volume of CDR data-set, the high and growing data rate and the large number of fields it contains. Many CDR analytics systems were built using Big Data technology, to overcome the scalability problem of the centralized computing, but the heterogeneity usage of CDR analytics have not been considered; they were built for specific and predetermined use cases. This paper presents a proposed platform architecture for real, near-real time and batch CDR analysis to provide analytics for heterogeneous applications, through designing a high generic and scalable platform. This paper illustrates the platform design consideration along with how the proposed architecture was built. Moreover, it gives a brief functional description and implementation suggestions for each component in the architecture. American Scientific Publishers 2017-11 Article NonPeerReviewed application/pdf en http://irep.iium.edu.my/62685/1/62685_A%20Proposed%20Architecture%20for%20Generic%20and%20Scalable%20CDR%20_article.pdf application/pdf en http://irep.iium.edu.my/62685/2/62685_A%20Proposed%20Architecture%20for%20Generic%20and%20Scalable%20CDR%20_scopus.pdf Elagib, Sara B. and Hassan Abdalla Hashim, Aisha and Olanrewaju, Rashidah Funke (2017) A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology. Advanced Science Letters, 23 (11). pp. 11149-11152. ISSN 1936-6612 E-ISSN 1936-7317 http://www.ingentaconnect.com/content/asp/asl/2017/00000023/00000011/art00156 10.1166/asl.2017.10239
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
spellingShingle	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) Elagib, Sara B. Hassan Abdalla Hashim, Aisha Olanrewaju, Rashidah Funke A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology
description	Telecom Call Details Record (CDR) data-set is considered a rich source of valuable information that will bring new big revenues to Communication Service providers (CSP) as well as it will empower many out-telco services such as transportation, education, health programs, and business analysis in resource management and planning, decision making, and processes optimization. However, extracting these valuable information from raw CDRs with the classical SQL and BI systems is very costly and has poor performance measures. This is due to the big volume of CDR data-set, the high and growing data rate and the large number of fields it contains. Many CDR analytics systems were built using Big Data technology, to overcome the scalability problem of the centralized computing, but the heterogeneity usage of CDR analytics have not been considered; they were built for specific and predetermined use cases. This paper presents a proposed platform architecture for real, near-real time and batch CDR analysis to provide analytics for heterogeneous applications, through designing a high generic and scalable platform. This paper illustrates the platform design consideration along with how the proposed architecture was built. Moreover, it gives a brief functional description and implementation suggestions for each component in the architecture.
format	Article
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	A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology
title_short	A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology
title_full	A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology
title_fullStr	A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology
title_full_unstemmed	A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology
title_sort	proposed architecture for generic and scalable cdr analytics platform utilizing big data technology
publisher	American Scientific Publishers
publishDate	2017
url	http://irep.iium.edu.my/62685/ http://irep.iium.edu.my/62685/ http://irep.iium.edu.my/62685/ http://irep.iium.edu.my/62685/1/62685_A%20Proposed%20Architecture%20for%20Generic%20and%20Scalable%20CDR%20_article.pdf http://irep.iium.edu.my/62685/2/62685_A%20Proposed%20Architecture%20for%20Generic%20and%20Scalable%20CDR%20_scopus.pdf
first_indexed	2023-09-18T21:28:49Z
last_indexed	2023-09-18T21:28:49Z
_version_	1777412372640563200

A proposed architecture for generic and scalable CDR analytics platform utilizing big data technology

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