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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
A Survey on Scheduling Techniques in Hadoop
Authors
  Harshitha R,  Rekha G S,  Dr. H S Guruprasad

Abstract
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.

Keywords- Hadoop, MapReduce, Scheduling, Distributed data processing
Publication Details
Unique Identification Number - IJEDR1501046
Page Number(s) - 248-254
Pubished in - Volume 3 | Issue 1 | Jan 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Harshitha R,  Rekha G S,  Dr. H S Guruprasad,   "A Survey on Scheduling Techniques in Hadoop", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 1, pp.248-254, Jan 2015, Available at :http://www.ijedr.org/papers/IJEDR1501046.pdf
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