MapReduce a comprehensive review

MapReduce encompasses a framework in the processing and management of large scale datasets within a distributed cluster. The framework has been employed in several applications including search indexes generation, analysis of access log, document clustering, and other data analytics. A flexible comp...

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Main Authors:	Al-Khasawneh, Mahmoud Ahmad, Shamsuddin, Siti Mariyam, Hasan, Shafaatunnur, Abubakar Ibrahim, Adamu
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/11448/ http://irep.iium.edu.my/11448/ http://irep.iium.edu.my/11448/ http://irep.iium.edu.my/11448/2/11448_MapReduce%20a%20Comprehensive%20Review_SCOPUS.pdf http://irep.iium.edu.my/11448/3/11448_MapReduce%20a%20Comprehensive%20Review%20-%20edited.pdf

id	iium-11448
recordtype	eprints
spelling	iium-114482019-02-19T02:21:49Z http://irep.iium.edu.my/11448/ MapReduce a comprehensive review Al-Khasawneh, Mahmoud Ahmad Shamsuddin, Siti Mariyam Hasan, Shafaatunnur Abubakar Ibrahim, Adamu TK Electrical engineering. Electronics Nuclear engineering MapReduce encompasses a framework in the processing and management of large scale datasets within a distributed cluster. The framework has been employed in several applications including search indexes generation, analysis of access log, document clustering, and other data analytics. A flexible computation model is adopted in MapReduce in addition to plain interface which comprises the functions of map and reduce. The interface is customizable based on application developers. MapReduce has captured the interest among many scholars whereby the interest has been on increasing its usability and efficiency in support to database-centric operations. Accordingly, this paper provides a complete review regarding a vast continuum of proposals and systems concentrating basically on the support of distributed data management and processing with the use of the framework of MapReduce. Institute of Electrical and Electronics Engineers Inc. 2018-11-15 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/11448/2/11448_MapReduce%20a%20Comprehensive%20Review_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/11448/3/11448_MapReduce%20a%20Comprehensive%20Review%20-%20edited.pdf Al-Khasawneh, Mahmoud Ahmad and Shamsuddin, Siti Mariyam and Hasan, Shafaatunnur and Abubakar Ibrahim, Adamu (2018) MapReduce a comprehensive review. In: 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE 2018), 11th-12th July 2018, Shah Alam, Selangor. https://icscee2018.mediu.edu.my/list-of-accepted-papers/ 10.1109/ICSCEE.2018.8538364
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Al-Khasawneh, Mahmoud Ahmad Shamsuddin, Siti Mariyam Hasan, Shafaatunnur Abubakar Ibrahim, Adamu MapReduce a comprehensive review
description	MapReduce encompasses a framework in the processing and management of large scale datasets within a distributed cluster. The framework has been employed in several applications including search indexes generation, analysis of access log, document clustering, and other data analytics. A flexible computation model is adopted in MapReduce in addition to plain interface which comprises the functions of map and reduce. The interface is customizable based on application developers. MapReduce has captured the interest among many scholars whereby the interest has been on increasing its usability and efficiency in support to database-centric operations. Accordingly, this paper provides a complete review regarding a vast continuum of proposals and systems concentrating basically on the support of distributed data management and processing with the use of the framework of MapReduce.
format	Conference or Workshop Item
author	Al-Khasawneh, Mahmoud Ahmad Shamsuddin, Siti Mariyam Hasan, Shafaatunnur Abubakar Ibrahim, Adamu
author_facet	Al-Khasawneh, Mahmoud Ahmad Shamsuddin, Siti Mariyam Hasan, Shafaatunnur Abubakar Ibrahim, Adamu
author_sort	Al-Khasawneh, Mahmoud Ahmad
title	MapReduce a comprehensive review
title_short	MapReduce a comprehensive review
title_full	MapReduce a comprehensive review
title_fullStr	MapReduce a comprehensive review
title_full_unstemmed	MapReduce a comprehensive review
title_sort	mapreduce a comprehensive review
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2018
url	http://irep.iium.edu.my/11448/ http://irep.iium.edu.my/11448/ http://irep.iium.edu.my/11448/ http://irep.iium.edu.my/11448/2/11448_MapReduce%20a%20Comprehensive%20Review_SCOPUS.pdf http://irep.iium.edu.my/11448/3/11448_MapReduce%20a%20Comprehensive%20Review%20-%20edited.pdf
first_indexed	2023-09-18T20:20:46Z
last_indexed	2023-09-18T20:20:46Z
_version_	1777408091327823872

MapReduce a comprehensive review

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