A Cloud Storage Framework for Massive Meteorological and Oceanographic Data and the Application of Virtualization Technology

With the development of observation and forecasting technologies, there are more and more high-accuracy and high-resolution meteorological and oceanographic observation and model data. Existing RDBMS-based (RDBMS, Relational Database Management System) frameworks of data storage and retrieval cannot store and retrieve such massive meteorological and oceanographic data (MOD) efficiently. In this paper, we propose a cloud storage framework for massive MOD based on recently developed big data storage technologies, We also give a preliminary study of incorporating virtualization technologies into the framework. Experimental results show that virtualization technologies can be applied in the framework but bring a little performance penalty.