A HADOOP DISTRIBUTED FILE SYSTEM REPLICATION APPROACH

Authors

  • Eman S.Abead 1Computer Department, Faculty of Science, Alasmarya Islamic University, Zliten, Libya
  • Mohamed H. Khafagy Faculty of Computers and Information, Fayoum University, Egypt
  • Fatma A. Omara Faculty of Computers and Information, Cairo University, Egypt

Keywords:

Hadoop Distributed File System (HDFS), Replication factor, NameNode, DataNode, Pipelined, Client

Abstract

Hadoop Distributed File System (HDFS) is a record framework that is intended to store, examine, and dependably move enormous datasets to client applications. Data replication is utilized to deal with adaptation to handle failures, with every data block being copied and stored on various DataNodes. Thereafter, the HDFS promote availability and reliability. The current Hadoop execution of HDFS does replication in a pipelined design, which consumes most of the daytime. The replication approach is proposed in this concentrate as a substitute methodology for effective replica state of affairs. The basic idea of this procedure is that the client allows two DataNodes to compose one block to the other equally, by storing the package.

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Eman.S.Abead, Mohamed H. Khafagy, and Fatma A. Omara, " An Efficient Replication Technique for Hadoop Distributed File System, in Proceeding of the International Journal of Scientific and Engineering Research, Volume 7, Issue 1, ISSN: 2229-5518, January 2016, pp 254- 261.

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Published

2022-06-30

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Article

How to Cite

A HADOOP DISTRIBUTED FILE SYSTEM REPLICATION APPROACH (E. S. Abead, M. H. Khafagy, & F. A. Omara , Trans.). (2022). Journal of Basic Sciences, 35(1), 156-174. https://journals.asmarya.edu.ly/jbs/index.php/jbs/article/view/132

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