Performance evaluation of Hadoop Distributed File System

Authors

  • D Sudheer Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, India
  • A Ramana Lakshmi Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, India

Keywords:

BigData, HDFS, MapReduce, Namenode, Datanode, Jobtracker, Tasktracker

Abstract

Huge amounts of data are required to build internet search engines and therefore large number of machines to process this entire data. The Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of machines. The Hadoop having two modules: 1. Hadoop distributed file system and 2. MapReduce. The Hadoop distributed file system is different from the local normal file system. The hdfs can be implemented as single node cluster and multi node cluster. The large datasets are processed more efficiently by the multi node clusters. By increasing number of nodes the data will be processed faster than the fewer nodes.

References

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Published

2025-11-10

How to Cite

[1]
D. Sudheer and A. Ramana Lakshmi, “Performance evaluation of Hadoop Distributed File System”, Int. J. Comp. Sci. Eng., vol. 3, no. 9, pp. 81–86, Nov. 2025.

Issue

Vol. 3 No. 9 (2015): IJCSE September Edition

Section

Research Article

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