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...
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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 |
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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.
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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 |
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