System Optimization for Big Data Processing
R. Li; X. Dong; X. Gu; Z. Xue; K. Li
Abstract
With the development and popularization of cloud computing, the Internet-of-Things, and mobile communications, the amount of data grows faster than ever before, which drives people to step into the age of Big Data. Hadoop and MapReduce programming frameworks have powerful data processing capability, and become more mature solutions in the field of text analysis, natural language processing, and business data processing. Therefore, Hadoop has become a key component of the Big Data processing system. Although Hadoop can support large-scale parallel data processing, there are still drawbacks to its underlying architecture and processing model in ...
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