Mass data analysis and forecasting based on cloud computing

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

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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".

Original languageEnglish
Pages (from-to)2189-2195
Number of pages7
JournalJournal of Software
Volume7
Issue number10
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Cloud computing
  • Data mining
  • FaaS
  • Parallel computing
  • R
  • SQL

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Mass data analysis and forecasting based on cloud computing'. Together they form a unique fingerprint.

  • Cite this