Performance Analysis of Multi-Node Hadoop Clusters using Amazon EC2 Instances
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015

Performance Analysis of Multi-Node Hadoop Clusters using Amazon EC2 Instances

Ruchi Mittal, Ruhi Bagga

Hadoop, an open source implementation of MapReduce model, is an effective tool for handling, processing and analyzing unstructured data generated these days by different cloud applications. Hadoop considers its nodes to be homogeneous in terms of their processing capability in a cluster. But in real word applications nodes in a cluster are heterogeneous in terms of their processing capability. In such cases, Hadoop does not yields effective performance levels In this paper, we had evaluated and analyzed the performance of WordCount MapReduce application using Hadoop on Amazon EC2 using different Ubuntu instances. The performance has been evaluated both on single node and multi-node clusters. Multi-node clusters include both the homogeneous and the heterogeneous clusters. The performance is evaluated in terms of execution time of the application on different file sizes.

Keywords: Cloud Computing, Hadoop, MapReduce, Multi-node cluster

Edition: Volume 4 Issue 10, October 2015

Pages: 1646 - 1650

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How to Cite this Article?

Ruchi Mittal, Ruhi Bagga, "Performance Analysis of Multi-Node Hadoop Clusters using Amazon EC2 Instances", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB159120, Volume 4 Issue 10, October 2015, 1646 - 1650

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