The Implementation of OPENCPU Distributed Computing Server

碩士 === 靜宜大學 === 財務與計算數學系 === 105 === In recent years, big data analysis were applied to wide range of applications, the purpose is to find sufficient information from the various areas to understand and satisfy customer needs. In the process of analysis, often because the amount of information is to...

Full description

Bibliographic Details
Main Authors: Hsiang,Ko-Hsuan, 向科軒
Other Authors: Yu,Chang-Yung
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/54q876
id ndltd-TW-105PU000305007
record_format oai_dc
spelling ndltd-TW-105PU0003050072019-05-15T23:31:51Z http://ndltd.ncl.edu.tw/handle/54q876 The Implementation of OPENCPU Distributed Computing Server OPENCPU分散式計算伺服器實作 Hsiang,Ko-Hsuan 向科軒 碩士 靜宜大學 財務與計算數學系 105 In recent years, big data analysis were applied to wide range of applications, the purpose is to find sufficient information from the various areas to understand and satisfy customer needs. In the process of analysis, often because the amount of information is too large to get prompt results, especially the analysis and presentation for business webpages combined with statistical analysis using R. Therefore, it is an important issue to promptly analyze and present results for specific purposes. This study attempts to use OpenCPU in conjunction with Nginx as a distributed R computing server. OpenCPU can act as a standalone R computing server to facilitate the development of customized APIs to meet specific needs. Combined with load balance function supported by Nginx, it can accelerate the efficiency of analyzing a large number of customer needs. We also implement virtual machine technology to achieve a rapid deployment environment, improve system management performance, and reduce hardware waste. Yu,Chang-Yung 于昌永 2017 學位論文 ; thesis 35 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 靜宜大學 === 財務與計算數學系 === 105 === In recent years, big data analysis were applied to wide range of applications, the purpose is to find sufficient information from the various areas to understand and satisfy customer needs. In the process of analysis, often because the amount of information is too large to get prompt results, especially the analysis and presentation for business webpages combined with statistical analysis using R. Therefore, it is an important issue to promptly analyze and present results for specific purposes. This study attempts to use OpenCPU in conjunction with Nginx as a distributed R computing server. OpenCPU can act as a standalone R computing server to facilitate the development of customized APIs to meet specific needs. Combined with load balance function supported by Nginx, it can accelerate the efficiency of analyzing a large number of customer needs. We also implement virtual machine technology to achieve a rapid deployment environment, improve system management performance, and reduce hardware waste.
author2 Yu,Chang-Yung
author_facet Yu,Chang-Yung
Hsiang,Ko-Hsuan
向科軒
author Hsiang,Ko-Hsuan
向科軒
spellingShingle Hsiang,Ko-Hsuan
向科軒
The Implementation of OPENCPU Distributed Computing Server
author_sort Hsiang,Ko-Hsuan
title The Implementation of OPENCPU Distributed Computing Server
title_short The Implementation of OPENCPU Distributed Computing Server
title_full The Implementation of OPENCPU Distributed Computing Server
title_fullStr The Implementation of OPENCPU Distributed Computing Server
title_full_unstemmed The Implementation of OPENCPU Distributed Computing Server
title_sort implementation of opencpu distributed computing server
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/54q876
work_keys_str_mv AT hsiangkohsuan theimplementationofopencpudistributedcomputingserver
AT xiàngkēxuān theimplementationofopencpudistributedcomputingserver
AT hsiangkohsuan opencpufēnsànshìjìsuàncìfúqìshízuò
AT xiàngkēxuān opencpufēnsànshìjìsuàncìfúqìshízuò
AT hsiangkohsuan implementationofopencpudistributedcomputingserver
AT xiàngkēxuān implementationofopencpudistributedcomputingserver
_version_ 1719148328110784512