Green Computing using Hadoop : An Energy Efficient Technique

  • Sumedha M. Thakurdesai University of Pune
Keywords: HDFS, Green energy, MapReduce, RAID, YARN, NameNode, Renewable enery

Abstract

Cloud computing is an emerging model for distributed computing. Hadoop is the popular framework for handling large amount of data. It has two main components i.e. Hadoop Distributed File System and MapReduce method. The purpose of this paper is to implement this technology in the eco-friendly environment using green energy. This will reduce the electricity consumption and improve the performance of data processing.
In this way, we can save our environment or we will reduce the effect on environment by using Hadoop framework and Green renewable energy like wind and solar. This helps in protecting environment, reducing e-waste and increase in performance of data computing.

References

[1] Hadoop in Practice (second edition) by Alex Holmes , DreamTech Press [2] IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 16, Issue 4, Ver. VI (Jul – Aug. 2014), PP 52-56 Eco-Friendly Hadoop Shiv Kumar1, Shrawan kr.shrama2,Hitesh kumar swarnkar3 [3] https://en.wikipedia.org/wiki/Apache_Hadoop [4] https://www.dezyre.com/article/5-healthcare-applications-ofhadoop-and-big-data/85 [5] https://www.qubole.com/hadoop-as-aservice/?nabe=6725258257104896:1&utm_referrer=https%3 A%2F%2Fwww.google.com
www.asianssr.org Mail: asianjournal2015@gmail.com Special issues of Convergence in Computing
[6] http://cloudtimes.org/ [7] http://hadoop.apache.org/ [8] http://hadoop.apache.org/docs/r1.0.4/fair_scheduler.html
Published
2017-12-17
How to Cite
Thakurdesai, S. (2017). Green Computing using Hadoop : An Energy Efficient Technique. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 2(2). Retrieved from http://asianssr.org/index.php/ajct/article/view/56
Section
Article

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