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IJSTR >> Volume 9 - Issue 5, May 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Enhancing Data Processing And Management For Big-Data Intensive Applications Based On Cloud Computing

[Full Text]

 

AUTHOR(S)

R.Rengasamy,M.Chidambaram

 

KEYWORDS

Big data; Data management; Cloud Computing; Map-Reduce; Hadoop; Data Workflow

 

ABSTRACT

An important factor that acts as a hindrance to the greater adoption of clouds for scientific computing is data management. The reason behind this is that data-intensive scientific workflow does not possess support for handling data workflow. At present, cloud computing handles data workflow by employing application overlays which map the output of a specific task to another input of specific tasks which may be in pipeline order and this technique was enhanced by MapReduce programming such as Amazon Elastic MapReduce, Hadoop on Azure - HDInsight. To resolve these challenges for managing data, an approach is proposed which can enhance virtual disks. The proposed approach enhances data workflow and management based on the cloud platform.

 

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