Reference Architecture and Operation Model for PPP (Public-Private-Partnership) Cloud


Youngkon Lee, Ukhyun Lee, Journal of Information Processing Systems Vol. 17, No. 2, pp. 284-296, Apr. 2021  

https://doi.org/10.3745/JIPS.04.0212
Keywords: Cloud Operational Model, Cloud Reference Model, PPP Cloud
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Abstract

The cloud has already become the core infrastructure of information systems, and government institutions are rapidly migrating information systems to the cloud. Government institutions in several countries use private clouds in their closed networks. However, because of the advantages of public clouds over private clouds, the demand for public clouds is increasing, and government institutions are expected to gradually switch to public clouds. When all data from government institutions are managed in the public cloud, the biggest concern for government institutions is the leakage of confidential data. The public-private-partnership (PPP) cloud provides a solution to this problem. PPP cloud is a form participation in a public cloud infrastructure and the building of a closed network data center. The PPP cloud prevents confidential data leakage and leverages the benefits of the public cloud to build a cloud quickly and easily maintain the cloud. In this paper, based on the case of the PPP cloud applied to the Korean government, the concept, architecture, operation model, and contract method of the PPP cloud are presented.


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Cite this article
[APA Style]
Lee, Y. & Lee, U. (2021). Reference Architecture and Operation Model for PPP (Public-Private-Partnership) Cloud. Journal of Information Processing Systems, 17(2), 284-296. DOI: 10.3745/JIPS.04.0212.

[IEEE Style]
Y. Lee and U. Lee, "Reference Architecture and Operation Model for PPP (Public-Private-Partnership) Cloud," Journal of Information Processing Systems, vol. 17, no. 2, pp. 284-296, 2021. DOI: 10.3745/JIPS.04.0212.

[ACM Style]
Youngkon Lee and Ukhyun Lee. 2021. Reference Architecture and Operation Model for PPP (Public-Private-Partnership) Cloud. Journal of Information Processing Systems, 17, 2, (2021), 284-296. DOI: 10.3745/JIPS.04.0212.