Journal of Chemical and Pharmaceutical Research (ISSN : 0975-7384)

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Original Articles: 2014 Vol: 6 Issue: 6

Scientific data processing framework for Hadoop MapReduce


Scientific workflows produce large amounts of scientific data. Hadoop MapReduce has been widely adopted for data-intensive processing of large datasets. The Kepler system can support scientific workflows, high–performance and high-throughput applications, which can be data-intensive and compute-intensive. The paper presented a "Kepler + Hadoop" framework for executing MapReduce-based scientific workflows on Hadoop

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