Abstract
This paper introduces the architecture optimization design of high performance cloud computing data center (HCDC), and proposes an efficient parallel algorithm based on Hadoop system and MapReduce framework. The performance of the algorithm in big data analysis and processing, and the impact of the algorithm on energy efficiency are studied. Finally, the challenges of future work in this area of research are discussed.
Cite
CITATION STYLE
Yu, J., Zhu, G., Chen, H., Wang, L., & Xu, M. (2019). Research on Software Architecture Optimization of Cloud Computing Data Center Based on Hadoop. In IOP Conference Series: Materials Science and Engineering (Vol. 677). IOP Publishing Ltd. https://doi.org/10.1088/1757-899X/677/4/042015
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