IIUM Repository (IREP)

MapReduce a comprehensive review

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.

[img]
Preview
PDF (SCOPUS) - Supplemental Material
Download (169kB) | Preview
[img] PDF - Published Version
Restricted to Registered users only

Download (639kB) | Request a copy

Abstract

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.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 7132/11448
Uncontrolled Keywords: MapReduce, Hadoop, Large Scale Data
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Dr Adamu Abubakar
Date Deposited: 19 Feb 2019 10:17
Last Modified: 19 Feb 2019 10:21
URI: http://irep.iium.edu.my/id/eprint/11448

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year