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Online First:2017-07,
Published:20 July 2017
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Wangqun LIN, Chenxu GAO, Ke TAO, et al. Research on big data platform architecture and standardization for specific fields[J]. Big data research, 2017, 3(4): 46-59.
Wangqun LIN, Chenxu GAO, Ke TAO, et al. Research on big data platform architecture and standardization for specific fields[J]. Big data research, 2017, 3(4): 46-59. DOI: 10.11959/j.issn.2096-0271.2017041.
分析了与国家民生和安全密切相关的特定领域的大数据发展现状,介绍了大数据标准研究的相关工作。研究了特定领域大数据的特点和现实需求,给出了适合这些领域大数据建设的参考架构,结合大数据主流技术和基础平台,详细分析了特定领域大数据参考架构的不同部件。考虑大数据未来技术发展,梳理了面向特定领域大数据标准体系发展脉络,提出了相应的大数据参考标准体系,为面向特定领域大数据相关体系架构和标准化建设提供技术参考。
The research development and related works of big data were analyzed.According to the characteristics of big data and the particularly requirements of the specific fields mentioned above
the reference architecture was presented.The different components of the inference architecture in detail combing the mainstream technology and basic platform were analyzed.The milestones of big data standardization were studied and the standards system of big data was presented.All of these contribute the technology development of reference architecture and standardization of big data in future
and provide technical reference for architecture-oriented and standardization-oriented construction of large data-related fields.
MANYIKA J , CHUI M , BROWN B , et al . Big data:the next frontier for innovation,comptetition,and productivity [J ] . Analytics , 2012 .
LOHR S . The age of big data [J ] . The New York Times , 2012 , 16 ( 4 ): 10 - 15 .
李国杰 , 程学旗 . 大数据研究:未来科技及经济社会发展的重大战略领域——大数据的研究现状与科学思考 [J ] . 中国科学院院刊 , 2012 , 27 ( 6 ): 5 - 15 .
LI G J , CHENG X Q . Big data research:a major strategic field for future technology and economic development:research status and scientific thinking of big data [J ] . Bulletin of Chinese Academy of Sciences , 2012 , 27 ( 6 ): 5 - 15 .
王元卓 , 靳小龙 , 程学旗 . 网络大数据:现状与展望 [J ] . 计算机学报 , 2013 , 36 ( 6 ): 1125 - 1138 .
WANG Y Z , JIN X L , CHENG X Q . Network big data:present and future [J ] . Chinese Journal of Computers , 2013 , 36 ( 6 ): 1125 - 1138 .
TOLLE K M , TANSLEY D , HEY A J G . The fourth paradigm:data-intensive scientific discovery[point of view] [J ] . Proceedings of the IEEE , 2012 , 99 ( 8 ): 1334 - 1337 .
孟小峰 , 慈祥 . 大数据管理:概念、技术与挑战 [J ] . 计算机研究与发展 , 2013 , 50 ( 1 ): 146 - 169 .
MENG X F , CI X . Big data management:concepts,techniques and challenges [J ] . Journal of Computer Research and Development , 2013 , 50 ( 1 ): 146 - 169 .
FITZPATRICK G J , WOLLMAN D A . NIST interoperability framework and action plans [C ] // 2011 IEEE Power &Energy Society General Meeting,July 28-29,2010,Providence,RI,USA . New Jersey:IEEE Press , 2010 : 1 - 4 .
饶玮 , 蒋静 , 周爱华 , 等 . 面向全球能源互联网的电力大数据基础体系架构和标准体系研究 [J ] . 电力信息与通信技术 , 2016 ( 4 ): 1 - 8 .
RAO W , JIANG J , ZHOU A H , et al . Research on power large data infrastructure and standard system for global energy internet [J ] . Electric Power Information and Communication Technology , 2016 ( 4 ): 1 - 8 .
韩晶 , 王健全 . 大数据标准化现状及展望 [J ] . 信息通信技术 , 2014 ( 6 ): 38 - 42 .
HAN J , WANG J Q . Status and prospect of large data standardization [J ] . Information and Communications Technolog , 2014 ( 6 ): 38 - 42 .
中国电子技术标准化研究院 . 大数据标准化白皮书V2.0 [J ] . 北京:工业和信息化部 , 2015 .
China Electronics Standardization Institute . Big data standardization white paper V2.0 [R ] . Beijing:Ministry of Industry and Information Technology , 2015 .
程学旗 , 靳小龙 , 王元卓 , 等 . 大数据系统和分析技术综述 [J ] . 软件学报 , 2014 , 25 ( 9 ): 1889 - 1908 .
CHENG X Q , JIN X L , WANG Y Z , et al . Survey on big data system and analytic technology [J ] . Journal of Software , 2014 , 25 ( 9 ): 1889 - 1908 .
冯登国 , 张敏 , 李昊 . 大数据安全与隐私保护 [J ] . 计算机学报 , 2014 , 37 ( 1 ): 246 - 258 .
FENG D G , ZHANG M , LI H . Big data security and privacy protection [J ] . Chinese Journal of Computers , 2014 , 37 ( 1 ): 246 - 258 .
叶润国 , 胡影 , 韩晓露 , 等 . 大数据安全标准化研究进展 [J ] . 信息安全研究 , 2016 , 2 ( 5 ): 404 - 411 .
YE R G , HU Y , HAN X L , et al . Research progress on standardization of large data security [J ] . Information security research , 2016 , 2 ( 5 ): 404 - 411 .
NIST Big Data Working Group . NIST big data interoperability framework [R ] . US:National Institute of Standards and Technology , 2015 .
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