文章基本信息

标题：Mass Data Analysis and Forecasting Based on Cloud Computing
本地全文：下载
作者：Yang, Tong ; Shia, Ben-Chang ; Wei, Jinrui 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2012
卷号：7
期号：10
页码：2189-2195
DOI：10.4304/jsw.7.10.2189-2195
语种：English
出版社：Academy Publisher
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”.
关键词：Cloud Computing; Parallel Computing;Data Mining;FaaS;R;SQL