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With the fast and sound development of information technology in healthcare, medical data rapidly emerge in large numbers. However, existing platforms for patients' data storage cannot meet the needs of the even increasing large volume of medical data. Therefore, it is very important to develop effective storage platform to manage and store these massive medical data. Cloud computing offers low cost, high scalability, availability and fault tolerance which provides a good solution for some of the problems faced in storing and analyzing patients' medical data. Based on the distributed computing technology, this paper proposes a novel approach for mass medical data storage and management. It includes a solution for storing massive medical data storage platform based on Hadoop by using Linux cluster technology. Extensive experimental results demonstrate the efficiency, reliability, high scalability, and fault tolerance. |
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Keywords:mass data storage; medical data; Hadoop; HBase; distributed computing. |
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