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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

VIRTUAL MACHINE BASED DATA SAMPLING APPROACH TO IMPROVE QUERY PERFORMANCE FOR VIRTULIZED HADOOP

Anupama S.*, Kavya G., Kannika J.S., Arjun T.R. and Malatesh S.H.

ABSTRACT

MapReduce emerges as an important distributed programming paradigm for large-scale data analysis applications. As an open-source implementation of MapReduce, Hadoop presents an attractive usage system for many enterprises. There are some drawbacks in a traditional Hadoop cluster deployed with a large scale of physical machines, such as burdensome cluster management and fluctuating resource utilization. Virtualized Hadoop cluster not only simplifies cluster management, but also facilitates cost-effective workload consolidation for resource utilization. In Hadoop system, the data locality and query performance are the critical factors impacting on performance of MapReduce applications.

[Full Text Article]