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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 7, JULY 2016

Resource Optimization for Big Data processing using MapReduce Framework: Survey

Parul Chhabra, Surender Singh

DOI: 10.17148/IJARCCE.2016.57158

Abstract: Big Data is a new area for researchers and it supports various application domains i.e. Medical, Finance, Sales & Marketing, Education etc. Big Data deals with the processing of large data volume. There are different challenges which are associated with the data processing i.e. storage of large scale data, memory management, energy consumption, job scheduling, process management and security etc. There is need to explore each issue and its possible solutions. Researchers have already developed some solution for Big Data processing and in this paper, we will explore them.



Keywords: Hadoop, Big Data, Energy Consumption, HDFS, MapReduce.

How to Cite:

[1] Parul Chhabra, Surender Singh, “Resource Optimization for Big Data processing using MapReduce Framework: Survey,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.57158