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K-Defense Cloud Computing System Design through Cloud Modeling and Analysis of Social Network Service Application  

Lee, Sung-Tae (광운대학교 방위사업학과)
Ryou, Hwang-Bin (광운대학교 소프트웨어학과)
Publication Information
Convergence Security Journal / v.13, no.1, 2013 , pp. 37-43 More about this Journal
Abstract
In 2010, the Ministry of National Defense decided to build a MegaCenter including the cloud computing technology by 2014, as part of the '2012 Information Service Plan', which is now underway. The Cloud computing system environment should be designed applying cloud computing technology and policy for an efficient infrastructure that many IT resources are available in the data center as a concentrated form. That is, the system should be designed in such a way that clouding services will be efficiently provided to meet the needs of users and there will not be unnecessary waste of resources. However, in order to build an optimal system, it should be possible to predict the service performance and the resource availability at the initial phase of system design. In this paper, using the CloudAnalyst simulator to predict availability of the K-defence cloud computing system service, conducts cloud modeling and analysis of the 'Facebook', one of the most famous social network service applications with most users in the world. An Optimal K-Defense cloud computing design model is proposed through simulation results.
Keywords
CloudAnalyst; Cloud Computing; MegaCenter; Social Network Service;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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