文章基本信息

标题：Novel Job Scheduling Algorithm using Dynamic Queue Management Scheme in Hadoop
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作者：Anuradha Sharma ; Er. Sheenam Malhotra
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：6
页码：9322
DOI：10.15680/IJIRSET.2015.0506091
出版社：S&S Publications
摘要：In today’s digital world data produced by individuals and organizations ranges from tera-bytes to zetabyteswhich is named as Big Data. But the most common difficulty for the companies is to store and analyze suchamount of data with few resources. The most prominent solution for this problem is given by Apache Hadoop thatworks in distributed environment. With increase in use of Hadoop, job scheduling has become an important factor toachieve high performance. Various scheduling algorithms are proposed in past few years for optimal utilization ofcluster resources. In this paper, a novel job scheduling algorithm is proposed which focuses on reduction of executiontime with maximum resource utilization. The results show significant decrease in completion time of a job as comparedto existing job aware scheduling algorithm.
关键词：Big Data; Hadoop; HDFS; MapReduce; Job Scheduling.