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Study of migration model based on the massive marine data hybrid cloud storage

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4 Author(s)
Yanling Du ; The institute of Digital Ocean, College of Information Technology, Shanghai Ocean University, Shanghai, China ; Zhenhua Wang ; Dongmei Huang ; Jiang Yu

With the establishment of marine monitoring network with an all-round of marine, land, air and space, the quality of marine data showed a trend of exponential growth from the GB, TB to PB. How to achieve high scalability, high reliability, high security and low-cost storage of massive marine data has become one of the key issues restricting the development of “digital ocean” and applications of marine data. Based on the characteristics of the marine data(mass, timeliness, sensitivity, regionalism and dynamics), this paper designed a hybrid cloud storage solution in view of high performance, high security of private cloud and the large capacity characteristics of public cloud. With the quantitative expressing of the real-time property, sensitivity, regionalism and data access heat of marine data, we deduced the model of marine data migration between the hybrid clouds. Meanwhile, the data migration method is improved to avoid the limitation of the traditional data migration method which is built just according to the data access heat. The research weights the cost of massive marine data calls and data management in order to achieve the optimization of data management.

Published in:

Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on

Date of Conference:

2-4 Aug. 2012