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

11 引文 (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

指紋

Cloud computing
Parallel processing systems
Telecommunication
Data mining
Gears
Websites
Industry
Wheels
Internet

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

引用此文

Mass data analysis and forecasting based on cloud computing. / Yang, Tong; Shia, Ben Chang; Wei, Jinrui; Fang, Kuangnan.

於: Journal of Software, 卷 7, 編號 10, 2012, p. 2189-2195.

研究成果: 雜誌貢獻文章

Yang, Tong ; Shia, Ben Chang ; Wei, Jinrui ; Fang, Kuangnan. / Mass data analysis and forecasting based on cloud computing. 於: Journal of Software. 2012 ; 卷 7, 編號 10. 頁 2189-2195.
@article{b48f9a3b95c5491aa7183a6199ad351f,
title = "Mass data analysis and forecasting based on cloud computing",
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{"}.",
keywords = "Cloud computing, Data mining, FaaS, Parallel computing, R, SQL",
author = "Tong Yang and Shia, {Ben Chang} and Jinrui Wei and Kuangnan Fang",
year = "2012",
doi = "10.4304/jsw.7.10.2189-2195",
language = "English",
volume = "7",
pages = "2189--2195",
journal = "Journal of Software",
issn = "1796-217X",
publisher = "Academy Publisher",
number = "10",

}

TY - JOUR

T1 - Mass data analysis and forecasting based on cloud computing

AU - Yang, Tong

AU - Shia, Ben Chang

AU - Wei, Jinrui

AU - Fang, Kuangnan

PY - 2012

Y1 - 2012

N2 - 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".

AB - 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".

KW - Cloud computing

KW - Data mining

KW - FaaS

KW - Parallel computing

KW - R

KW - SQL

UR - http://www.scopus.com/inward/record.url?scp=84870566703&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870566703&partnerID=8YFLogxK

U2 - 10.4304/jsw.7.10.2189-2195

DO - 10.4304/jsw.7.10.2189-2195

M3 - Article

AN - SCOPUS:84870566703

VL - 7

SP - 2189

EP - 2195

JO - Journal of Software

JF - Journal of Software

SN - 1796-217X

IS - 10

ER -