Abstract

This paper introduced the new approaches to big data platform, RHadoop and SparkR, and integrated them to form a high-performance big data analysis with multiple platforms as part of business intelligence (BI) to carry out rapid data retrieval and analysis with R programming. This paper aims to develop the optimization for job scheduling using MSHEFT algorithm and implement the optimized platform selection based on computing features for improving the system throughput significantly. As a result, although the optimized platform selection can reduce the execution time for the data retrieval and analysis significantly, furthermore scheduling optimization definitely increases the system efficiency a lot.

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