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International Journal of Mathematical Analysis and Applications

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A Novel Analytics-as-a-Service System for Fuzzy Big Data

International Journal of Mathematical Analysis and Applications
Vol.5 , No. 1, Publication Date: Jan. 11, 2018, Page: 1-14

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Authors

[1]	Rong-Kuan Shen, Department of Japanese Language and Literature, Shih Hsin University, Taipei City, Taiwan.
[2]	Gwo-Jen Chiou, Department of Electrical Engineering, National Formosa University, Yunlin County, Taiwan.
[3]	Yi-Nan Lin, Department of Electronic Engineering, Ming Chi University of Technology, New Taipei City, Taiwan.
[4]	Victor R. L. Shen, Department of Computer Science and Information Engineering, National Taipei University, New Taipei City, Taiwan; Department of Information Management, Chaoyang University of Technology, Taichung City, Taiwan.
[5]	Chan Hao Hsu, Department of Computer Science and Information Engineering, National Taipei University, New Taipei City, Taiwan.

Abstract

Analytics-as-a-Service (AaaS) has become an important discipline in recent years. Many researchers are concerning more about collecting, collating, storing, and analyzing big data. This study aims to apply the theory of high-level fuzzy Petri nets (HLFPN) to the big data analysis platform. The platform can be applied to describe the analytical contents through natural language and to verify analytical processes by module. Also, it can be employed to generate Map/Reduce programs automatically and to be used for parallel computation, thus shortening analysis time. Finally, the experiments are successfully conducted to demonstrate the feasibility of our proposed approach.

Keywords

Fuzzy System, Cloud Computing, High-Level Fuzzy Petri Nets, Big Data, Service Platform

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