The Implementation of OPENCPU Distributed Computing Server

Autor: Hsiang,Ko-Hsuan, 向科軒
Rok vydání: 2017
Druh dokumentu: 學位論文 ; thesis
Popis: 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.
Databáze: Networked Digital Library of Theses & Dissertations