A Survey on Scheduling Techniques in Hadoop
- Harshitha R
- Rekha G S
- Dr. H S Guruprasad
Hadoop, MapReduce, Scheduling, Distributed data processing
Cloud computing has major role in parallel and distributed data processing. Hadoop environment is mainly used for storage and processing of such data. In Hadoop, MapReduce framework is a programming model which processes terabytes of data in very less time. MapReduce framework uses a task scheduling method to schedule task. There are various methods available for scheduling task in MapReduce framework. Scheduling of jobs parallely across nodes is a major concern in distrusted file system. Discussion of these research papers emphasizes the scheduling vulnerabilities of existent as well as new techniques in the field of distributed file system.
Harshitha R, Rekha G S, Dr. H S Guruprasad. "A Survey on Scheduling Techniques in Hadoop".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 1, pp.248-254, URL :https://rjwave.org/ijedr/papers/IJEDR1501046.pdf
Volume 3 Issue 1
Pages. 248-254
