文章基本信息

标题：A Survey on Job Scheduling in Big Data
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作者：M. Senthilkumar ; P. Ilango
期刊名称：Cybernetics and Information Technologies
印刷版ISSN：1311-9702
电子版ISSN：1314-4081
出版年度：2016
卷号：16
期号：3
页码：35
DOI：10.1515/cait-2016-0033
出版社：Bulgarian Academy of Science
摘要：Big Data Applications with Scheduling becomes an active research area in last three years. The Hadoop framework becomes very popular and most used frameworks in a distributed data processing. Hadoop is also open source software that allows the user to effectively utilize the hardware. Various scheduling algorithms of the MapReduce model using Hadoop vary with design and behavior, and are used for handling many issues like data locality, awareness with resource, energy and time. This paper gives the outline of job scheduling, classification of the scheduler, and comparison of different existing algorithms with advantages, drawbacks, limitations. In this paper, we discussed various tools and frameworks used for monitoring and the ways to improve the performance in MapReduce. This paper helps the beginners and researchers in understanding the scheduling mechanisms used in Big Data.
关键词：Big Data; Hadoop; MapReduce; classification; HDFS (Hadoop ; Distributed File System); scheduler