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Call for Paper - May – 2020 Edition   

(SJIF Impact Factor: 5.048) (IJIFACTOR 3.8, RANKING: A+) (PIF: 3.460)

IJATCA solicits original research papers for the May – 2020 Edition.
Last date of manuscript submission is May 30, 2020.


Big Data Analytic and Efficient Data Storage System on Cloud Computing

Volume: 6 Issue: 2
Year of Publication: 2019
Authors: Cho Cho Khaing, Zar Zar Hnin, Ei Ei Mon


The widespread popularity of Cloud computing as a preferred platform for the deployment of web applications have resulted in an enormous number of applications moving to the cloud, and the huge success of cloud service providers. The data center storage management plays a vital role in cloud computing environments. Especially the PC cluster-based data storage is necessary to manage data on low cost storage servers in which storage space can be reduced. The paper presents the "Map Reduce" and "Hadoop" as Big Data systems that support the processing of large sets of data in a cloud computing environment. This system presents an efficient data storage approach to push work out to many nodes in a cluster using Hadoop File System (HDFS) with variable chunk size to facilitate massive data processing and introduces the implementation enhancement on MapReduce model with BW Transform to reduce the amount of data redundancy and improves the scalability to keep on working with the amount of existing physical storage capacity when the number of users and files are increased.


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Big Data, Cloud Computing, Hadoop, Map Reduce, BW Transform.

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