A Comparative And Statistical Approach To Leverage Cloud Computing And Big Data Analytics In E-Governance
DOI:
https://doi.org/10.26438/ijcse/v6i8.959967Keywords:
E-governance, Cloud Computing, Big data analyticsAbstract
Nowadays, the governments across the world uses internet for providing their maximum number of services to the different stakeholders with the help of ICT. But due to the legacy computing architecture and data processing technologies, it become difficult for the governments to fulfill the current requirement of E-governance which makes impact on its usage. Therefore the emerging technologies like cloud computing and big data analytics can be used together in E-governance to overcome the existing challenges related to computing and data processing. The Cloud computing and big data analytics can be used together to introduce the many features which are not there in existing system. But before opting them their relevance needs to be studied. Therefore the main objective of this paper is to perform the in-depth study of Cloud and Bigdata enabled E-governance along with the statistical and comparative analysis. This research paper also proposes a model for integrating cloud computing and big data analytics in to E-governance along with advantages and disadvantages
References
[1] Satyabrata Dash and Subhendu Kumar Pani, “E-Governance Paradigm Using Cloud Infrastructure: Benefits and Challenges”, International Conference on Computational Modeling and Security, Elsevier, pp:843-855,2016.
[2] Smitha K. K., Dr. Tony Thomas, Chitaranjan K,”Cloud based E-Governance System: A Survey”, International Conference on Modeling, Optimization and Computing”, Elsevier, pp: 3816-3823, 2012.
[3] Rajkumar Sharma and Priyesh Kanungo,”An Intelligent Cloud Computing Architecture Supporting e-Governance”, International Conference on Automation & Computing,IEEE, 2011,pp:1-5,2015.
[4] Yannis Charalabidis, Sotirios Koussouris, Antonis Ramfos,” A Cloud Infrastructure for Collaborative Digital Public Services”, International Conference on Cloud Computing Technology and Science, IEEE, pp:342-347, 2011.
[5] Rajiv Ranjan, Saurabh Garg, Ali Reza Khoskbar, et al.: “Orchestrating Big Data Analysis Workflows”.IEEE transaction on Cloud Computing.IEEE Computer Society, pp:20-28,2017
[6] Deka Ganesh Chandra and Robin Singh Bhadoria, “Cloud Computing Model for National e-Governance Plan(NeGP)”, International Conference on Computational Intelligence and Communication Networks,IEEE, pp:520-524,2012.
[7] Rajagopalan M.R and Solaimurugan vellaipandiyan,”Big Data Framework for National e-Governance Plan”, International Conference on ICT and Knowledge Engineering,IEEE,2013.
[8] Saeid Abolfazli, Zohreh Sanaei et al.,”Cloud Adoption in Malaysia: Trends, Opportunities, and Challenges”, IEEE CLOUD COMPUTING SOCIETY,2015.
[9] Prajakta N. Warale, Hemalatha Diwakar,” A Study of Citizen Satisfaction for e-Governance Initiative SETU in Maharashtra (INDIA)”, International Journal of Computer Applications (0975 – 8887),Volume 124 – No.17, August 2015.
[10] Bhushan Jadhav, Archana Patankar, ”Opportunities and Challenges in integrating Cloud computing and Big data analytics to E-governance”, International Journal of Computer Applications, (0975 – 8887), Volume No.182, January 2018.
[11] Bhushan Jadhav, Archana Patankar, ”A Novel Solution for Cloud enabled E-governance using Openstack: Opportunities and Challenges”, International conference on computers network and communications, proceedings in Communications in computer and information science, Springer CCIS, 2018.
[12] Ibrahim Abaker, Targio Hashem, Ibrar Yaqoob et al.:” The rise of “big data” on cloud computing : Review and open research issues”,International Journal of Information Sciences, Elsevier,(2014)
[13] Ethiranjan D.,S. Purushothaman et al.,”Adoption of E-governance applications towards Big data approach”, International Journal of Applied Engineering Research, ISSN 0973-4562,pp: 11336-11340, Volume 12, (2017)
[14] https://blog.microfocus.com/how-much-data-is-created-on-the-internet-each-day/
[15] Fang Liu, Jin Tong, Jian Mao, Robert Bohn, John Messina, Lee Badger and Dawn Leaf,”NIST Cloud Computing Reference Architecture”, Recommendations of the National Institute of Standards and Technology, Special Publication 500-292, 2011.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
