文章基本信息

标题：Scheduling Strategies in Hadoop: A Survey
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作者：S Rashmi ; Anirban Basu
期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2015
卷号：8
期号：3
页码：234-240
语种：English
出版社：Oriental Scientific Publishing Company
摘要：Hadoop-MapReduce is one of the dominant parallel data processing tool designed for large scale data-intensive cloud computing platforms. Hadoop Mapreduce framework requires a proficient mechanism to allocate and schedule computing resources which makes it liable to accomplishthe desired preferences for the specific business application. In this paper, an analysis of a few scheduler improvement methods that improves the completion time of the job or the task has been carried out in order to facilitate a judicious choice of the scheduler based on the requirement and application expectations .
关键词：Cloud Computing ; Hadoop ; MapReduce ; Scheduling