Impact Of Processing And Analyzing Healthcare Big Data On Cloud Computing Environment By Implementing Hadoop Cluster

Authors: Sreekanth Rallapallia, R.R. Gondkarb, Uma Pavan Kumar Ketavarapua

Abstract:

The critical challenge that the healthcare organizations are facing is to analyze the large-scale data. With the rapid growth of various healthcare applications, various devices used in healthcare generate varieties of data. The data need to be processed and effectively analyzed for better decision making. Cloud computing is a promising technology which can provide on-demand services for storage, processing and analyzing the data. The traditional data processing systems no longer has an ability to process such huge data. In order to achieve a better performance and to solve the scalability issues we need a better distributed system on cloud environment. Hadoop is a framework which can process large scale data sets on distributed environment. Hadoop can be deployed on cloud environment to process the large scale healthcare data. Healthcare applications are being supplied through internet and cloud services rather than using as traditional software. Healthcare providers need to have real time information to provide quality healthcare. This paper discuss on the impacts of data processing and analyzing large scale healthcare data on cloud computing environment.

Keywords

Big Data; Cloud Computing; Cluster; Hadoop; Healthcare.

Citation: Sreekanth Rallapallia, R.R. Gondkarb, Uma Pavan Kumar Ketavarapua Impact Of Processing And Analyzing Healthcare Big Data On Cloud Computing Environment By Implementing Hadoop Cluster doi:10.1016/j.procs.2016.05.171

Available online 1 June 2016

Copyright: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Conclusion

Cloud computing is a perfect environment for processing healthcare big data. It is secured for sharing sensitive data like patient health information. Various cryptographic techniques can be implemented for having a better framework for secure sharing of information on cloud. MapReduce can be efficient tool for processing the healthcare data provided the performance can be improved by fine tuning various parameters as discussed. Hadoop clusters can be used for faster parallel processing of the data. Big data in healthcare provides a greater impact on patient by improving the quality of healthcare, giving various options for patient for choosing the right care, right value. Big data can also impact in healthcare by innovations made in biomedicine.

Acknowledgements:

I thank my guide who has encouraged me to write this paper. I also thank my institution for providing the nfrastructure support.

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