A NOVEL APPROACH FOR REPLICA SYNCHRONIZATION IN HADOOP DISTRIBUTED FILE SYSTEMS

被引：1

作者：

Vini, Miss. J. ^{[1
]}

Nallathamby, Rachel ^{[1
]}

Robin, C. R. Rene ^{[1
]}

机构：

[1] Jerusalem Coll Engn, Dept Comp Sci, Madras, Tamil Nadu, India

来源：

BIG DATA, CLOUD AND COMPUTING CHALLENGES | 2015年 / 50卷

关键词：

Big data; distributed file system; Map Reduce; Hadoop; Adaptive replica synchronization;

D O I：

10.1016/j.procs.2015.04.090

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The Map Reduce framework provides a scalable model for large scale data intensive computing and fault tolerance. In this paper, we propose an algorithm to improve the I/O performance of the Hadoop distributed file system. The results prove that the proposed algorithm show better I/O performance with comparatively less synchronization (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：590 / 595

页数：6

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