| 物联网、大数据分析和机器学习技术在灾备中的应用研究 | |
| Alternative Title | Application Research on Internet of Things,Big Data Analysis and Machine Learning Technology in Backup for Disaster Recovery |
| 刘伟佳; 李博权 | |
| Department | 空间技术部 |
| Source Publication | 微电子学与计算机
 |
| 2018 | |
| Volume | 35Issue:12Pages:55-58 |
| ISSN | 1000-7180 |
| Language | 中文 |
| Keyword | 灾备 物联网 大数据分析 机器学习 智能 |
| Abstract | 物联网、大数据分析、机器学习是智能时代的三驾马车,对于科技的智能化发展具有重大意义.本文先对灾备的发展趋势进行了分析,提出智慧+灾备的思路,在此基础上,简要分析了物联网、大数据分析、机器学习等关键技术,最后将这些技术应用到灾备系统设计中,提出一种物联网环境下基于大数据分析和机器学习的智慧+灾备系统架构,并对该架构的实现原理和功能进行了分析. |
| Other Abstract | Internet of things,big data analysis and machine learning are the troika of the intelligent age,which is of great significance to the intelligent development of science and technology.This paper first analyses the development trend of the backup for disaster recovery,then provides the thinking of" wisdom +" backup system for disaster recovery,on this basis,analys briefly the key technologies of the Internet of things,big data analysis and machine learning,finally uses these techniques to the design of backup system for disaster recovery,and provides a kind of wisdom+architecture of backup system for disaster recovery based on the big data analysis and machine learning in the environment of Internet of things,also analys the implementation principle and function of this system. |
| Indexed By | CSCD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/6951 |
| Collection | 空间技术部 |
| Recommended Citation GB/T 7714 | 刘伟佳,李博权. 物联网、大数据分析和机器学习技术在灾备中的应用研究[J]. 微电子学与计算机,2018,35(12):55-58. |
| APA | 刘伟佳,&李博权.(2018).物联网、大数据分析和机器学习技术在灾备中的应用研究.微电子学与计算机,35(12),55-58. |
| MLA | 刘伟佳,et al."物联网、大数据分析和机器学习技术在灾备中的应用研究".微电子学与计算机 35.12(2018):55-58. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2018351255-58.pdf（368KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | Application Full Text | |
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