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http://dx.doi.org/10.7236/IJIBC.2021.13.1.201

Design of Cloud Service Platform for eGovernment  

LEE, Choong Hyong (Department of Bigdata & Industry Security, Namseoul University)
Publication Information
International Journal of Internet, Broadcasting and Communication / v.13, no.1, 2021 , pp. 201-209 More about this Journal
Abstract
The term, eGovernmen or e-Government, uses technology communications devices such as computers and the Internet to provide public services to citizens and others. The eGovernment or e-government provides citizens with new opportunities to access the government directly and conveniently, while the government provides citizens with directservices. Also, in these days, cloud computing is a feature that enables users to use computer system resources, especially data storage (cloud storage) and on-demand computing power, without having to manage themselves. The term is commonly used to describe data centers that are available to many users over the Internet. Today, the dominant Big Cloud is distributed across multiple central servers. You can designate it as an Edge server if it is relatively close to the user. However, despite the prevalence of e-government and cloud computing, each of these concepts has evolved. Research attempts to combine these two concepts were not being made properly. For this reason, in this work, we aim to produce independent and objective analysis results by separating progress steps for the analysis of e-government cloud service platforms. This work will be done through an analysis of the development process and architectural composition of the e-government development standard framework and the cloud platform PaaS-TA. In addition, this study is expected to derive implications from an analysis perspective on the direction and service composition of the e-government cloud service platform currently being pursued.
Keywords
Bigdata; Cloud Computing; Cloud Service; eGovernment; Service Platform;
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1 Park, S.; Hwang, J.S. and Lee, S. (2015). A Study on the Link Server Development Using B-Tree Structure in the Bigdata Environment, Journal of Internet Computing and Services, 16(1), 75-82. DOI: https://doi.org/10.7472/JKSII.2015.16.1.75   DOI
2 Park, S.B.; Lee, S.; Chae, S.W. and Zo, H. (2015). An Empirical Study of the Factors Influencing the Task Performances of SaaS Users, Asia Pacific Journal of Information Systems, 25(2), 265-288. DOI: https://doi.org/10.14329/apjis.2015.25.2.265   DOI
3 Park, S. and Lee, S. (2015). Big Data-oriented Analysis on Issues of the Hyper-connected Society, The E-Business Studies, 16(5), 3-18. DOI: https://doi.org/10.15719/geba.16.5.201510.3   DOI
4 Lee, J.M.; Park, S.B. and Lee, S. (2015). Are Negative Online Consumer Reviews Always Bad? A Two-Sided Message Perspective, Asia Pacific Journal of Information Systems, 25(4), 784 - 804. DOI: https://doi.org/10.14329/apjis.2015.25.4.784   DOI
5 Kim, J.K.; Lee, S.W. and Choi, D.O. (2016). Relevance Analysis Online Advertisement and e-Commerce Sales, Journal of the Korea Entertainment Industry Association, 10(2), 27-35. DOI: https://doi.org/10.4236/jsea.2013.611068   DOI
6 Lee, S.W. and Kim, S.H. (2016). Finding Industries for Bigdata Usage on the Basis of AHP, Journal of Digital Convergence, 14(7), 21 - 27. DOI: https://doi.org/10.14400/JDC.2016.14.7.21   DOI
7 Lee, S. and Shin, S.Y. (2016). Design of Health Warning Model on the Basis of CRM by use of Health Big Data, Journal of the Korea Institute of Information and Communication Engineering, 20(4), 1460 - 1465. DOI: https://doi.org/10.6109/jkiice.2016.20.8.1460   DOI
8 Nam, M. and S. Lee. (2016). Bigdata as a Solution to Shrinking the Shadow Economy, The E-Business Studies, 17(5), 107-116. DOI: https://doi.org/10.20462/TeBS.2016.10.17.5.107   DOI
9 Kim, S.H.; Chang, S. and Lee, S.W. (2017). Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Big Data, Journal of Digital Convergence, 15(6), 133-143. DOI: https://doi.org/10.14400/JDC.2017.15.6.133   DOI
10 Kang, Y.; Kim, S.; Kim, J. and Lee, S. (2017). Examining the Impact of Weather Factors on Yield Industry Vitalization on Bigdata Foundation Technique, Journal of the Korea Entertainment Industry Association, 11(4), 329-340. DOI: https://doi.org/10.21184/jkeia.2017.06.11.4.329   DOI
11 Kim, S.; Hwang, H.; Lee, J.; Choi, J.; Kang, J. and Lee, S. (2018). Design of Prevention Method Against Infectious Diseases based on Mobile Bigdata and Rule to Select Subjects Using Artificial Intelligence Concept, International Journal of Engineering and Technology, 7(3), 174 - 178. DOI: https://doi.org/10.21184/jkeia.2017.06.11.4.329   DOI
12 Kang J. and Lee, S. (2019). Algorithm Design to Judge Fake News based on Bigdata and Artificial Intelligence, International Journal of Internet, Broadcasting and Communication, 11(2), 50 - 58. DOI: https://doi.org/10.7236/IJIBC.2019.11.2.50   DOI
13 Kang J. and Lee, S. (2019). Strategy Design to Protect Personal Information on Fake News based on Bigdata and Artificial Intelligence, International Journal of Internet, Broadcasting and Communication, 11(2), 59 - 66. DOI: https://doi.org/10.7236/IJIBC.2019.11.2.59   DOI
14 Grossman, R. L. (2009). The case for cloud computing. IT professional, 11(2), 23-27. DOI: https://doi.org/10.1109/MITP.2009.40   DOI
15 Xu, X. (2012). From cloud computing to cloud manufacturing. Robotics and computer-integrated manufacturing, 28(1), 75-86. DOI: https://doi.org/10.1016/j.rcim.2011.07.002   DOI