Hadoop Mapreduce in Cloud Environments for Scientific Data Processing

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Provided by: Journal of Theoretical and Applied Information Technology
Topic: Cloud
Format: PDF
For the problem of massive scientific data storage on the network, and based on the Hadoop and virtual technologies, the massive scientific data storage model based on cloud computing is proposed. The massive scientific data is applied to the Hadoop platform and processed by MapReduce, the key algorithm of cloud computing, and finally the data is stored in the virtual pool. This paper introduces a large scale scientific data processing method based on cloud computing, builds a dynamic, scalable, cost-effective, easy to use and high performance computing platform on a large of centralized or distributed inexpensive computer cluster, and creates a cloud computing based framework for large scale data processing model.
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