情報技術およびソフトウェア工学ジャーナル
オープンアクセス

概要

Job Scheduling in Big Data-A Survey

Seethalakshmi V, Govindasamy V and Akila V

A huge amount of information (Information in the unit of Exabyte or Zettabyte) is called Big Data. To quantify such a large amount of data and store electronically is not easy. Hadoop system is used to handle these large data sets. To collect Big Data according to the request, Map Reduce program is used. In order to achieve greater performance, Big Data requires proper scheduling. To reduce starvation and increase the use of resource and also to assign the jobs for available resources, the scheduling technique is used. The Performance can be increased by implementing deadline constraints on jobs. The goal of the paper is to study and analyze various scheduling algorithms for better performance.