文章基本信息

标题：Scheduling Algorithms in Big Data: A Survey
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作者：Nagina ; Sunita Dhingra
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：8
页码：17737-17743
DOI：10.18535/ijecs/v5i8.53
出版社：IJECS
摘要：It is not easy to quantify the large amount of data stored electronically. Data is in the unit of zettabytes or exabytes referred as Big Data. Hadoop system is used to process large datasets. Map Reduce program is used to collect data according to the request. To process big data proper scheduling is required to achieve greater performance. Scheduling is a technique of assigning jobs to available resources in a manner to minimize starvation and maximize resource utilization. Performance of scheduling technique can be improved by applying deadline constraints on jobs. The objective is to study Map Reduce and different scheduling algorithms that can be used to achieve better performance
关键词：Big Data; Hadoop; Map Reduce; HDFS; Scheduling Algorithms