Mass data analysis and forecasting based on cloud computing

Tong Yang, Ben Chang Shia, Jinrui Wei, Kuangnan Fang

研究成果: 雜誌貢獻文章同行評審

12 引文 斯高帕斯(Scopus)

摘要

Owing to the less limitation of Cloud Computing, different fields (such as telecommunications, tour and medical industry etc.) can combine their industrial specialty and professional skills with Internet to construct many small clouds in Cloud Computing. In addition, like many gear wheels in the machines, many small clouds support a large cloud that is composed of different services to provide users with general-purpose applications in Cloud Computing. By the concept of Parallel Computing, we build a small cloud for statistical forecasting service (FaaS, Forecasting as a Service) with integrating Cloud Computing and data mining methods based on R, PHP and MySQL. The greatest advantage on R is that it is open and free. Moreover, R code can combine with PHP code to be a web page. Furthermore, it can solve the installation and extension problems by cloud computing that makes enterprises not that "heavy".

原文英語
頁(從 - 到)2189-2195
頁數7
期刊Journal of Software
7
發行號10
DOIs
出版狀態已發佈 - 2012
對外發佈Yes

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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