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MapReduce-based Algorithms for Efficient Big Data Processing

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MapReduce-based Algorithms for Efficient Big Data Processing


Dr. Gopal Prasad Sharma | Prof. Dr. Pawan Kumar Jha | Prof. Raj Kumar Thakur



Dr. Gopal Prasad Sharma | Prof. Dr. Pawan Kumar Jha | Prof. Raj Kumar Thakur "MapReduce-based Algorithms for Efficient Big Data Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-3, June 2025, pp.781-787, URL: https://www.ijtsrd.com/papers/ijtsrd81126.pdf

MapReduce is a widely used programming model for processing and analyzing large-scale datasets in a distributed computing environment. As the volume of data continues to grow exponentially, MapReduce offers an efficient and scalable solution to manage big data challenges, particularly in areas requiring parallel processing and fault tolerance. This article explores the fundamentals of MapReduce, highlighting its two key phases Map and Reduce they are utilized to process vast amounts of data across distributed systems. Key MapReduce-based algorithms for tasks such as data analysis, sorting, searching, graph processing, and machine learning are discussed in detail, including implementations of the Word Count algorithm, PageRank, k-means clustering, and matrix multiplication. The article further examines the challenges associated with MapReduce, such as inefficiencies in iterative processing and overheads during shuffle and sort phases. It also explores emerging trends and improvements, including the integration of MapReduce with modern frameworks like Apache Spark and its application in cloud computing and AI-driven big data analytics. Finally, the article reflects on the evolving landscape of big data and distributed computing, highlighting the continued relevance and potential of MapReduce in the future of data processing.

Big Data, Data Processing, Distributed Computing, MapReduce, Parallel Processing


IJTSRD81126
Volume-9 | Issue-3, June 2025
781-787
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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