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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Online Access: | 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 |
| _version_ | 1848777328825466880 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:44:15Z |
| format | Proceeding Paper |
| id | iium-11448 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T14:44:15Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Al-Khasawneh, Mahmoud Ahmad Shamsuddin, Siti Mariyam Hasan, Shafaatunnur Abubakar Ibrahim, Adamu MapReduce a comprehensive review |
| title | MapReduce a comprehensive review |
| title_full | MapReduce a comprehensive review |
| title_fullStr | MapReduce a comprehensive review |
| title_full_unstemmed | MapReduce a comprehensive review |
| title_short | MapReduce a comprehensive review |
| title_sort | mapreduce a comprehensive review |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |