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Analysis on Cloud Classification using Accessibility

Anirban Kundu, Guanxiong Xu and Chunlin Ji
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Anirban Kundu: Shenzhen Key Laboratory of Data Science and Modeling, Institute of Advanced Technology, Shenzhen, China
Guanxiong Xu: Guangdong Key Laboratory of Meta-RF Microwave Radio Frequency, Institute of Advanced Technology, Shenzhen, China
Chunlin Ji: State Key Laboratory of Meta-RF Electromagnetic Modulation Technology of Kuang-Chi, Institute of Advanced Technology, Shenzhen, China

International Journal of Cloud Applications and Computing (IJCAC), 2014, vol. 4, issue 3, 44-53

Abstract: In this paper, Cloud classification has been demonstrated using accessibility factor of distinct Cloud clusters. Group and non-group Cloud structures have been classified using its direction of scope of activities. Each type of Cloud is further divided into different clusters based on its unique status, such as reachable cluster, non-reachable cluster, basin cluster, momentary cluster, and initiation cluster. Set theory has been applied to realize our proposed Cloud system.

Date: 2014
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International Journal of Cloud Applications and Computing (IJCAC) is currently edited by B. B. Gupta

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