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大数据思维的民爆安全云平台探讨 被引量:4

A Big Data Thinking Cloud Platform for Civil Explosive Safety
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摘要 为提升民用爆炸物品行业安全生产信息化融合度,利用物联网技术及大数据思维,搭建基于大数据管理的民爆行业信息采集系统,并构建民爆安全云平台,实现异构基础数据系统的信息实时汇集、交互,达到汇集数据、分析数据、引导决策的目的。通过计算机或手机终端完成系统的实时监控与管理,实现整个民爆安全云平台的智能化。 To solve the problem of real-time safety production in civil explosive industry,the paper uses the technologies of Internet of Things and large data to establish information system and build secure civil explosive cloud platform.The client real-time monitoring and management system is completed by PC or cell phone terminal.So as to realize intelligence and wisdom of the whole civil explosive security cloud platform.
出处 《自动化与信息工程》 2014年第6期6-10,35,共6页 Automation & Information Engineering
基金 2011年国家物联网发展专项资金项目(2011080) 广东省中国科学院全面战略合作项目(2012B090400014) 广州市创业领军人才启动资金项目--新一代物联网信息平台(LCY201312)
关键词 大数据 民爆安全 云平台 安全管理 Big Data Civil Explosive Security Cloud Computing Platform Security Management
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参考文献14

  • 1万方数据[OL].2014.http://d.g.wanfangdata.com.crgConference_8286788.aspx.
  • 2Gantz John, Reinsel David. The Digital Universe Decade? Are You Ready?[R].White paper, IDE and EMC Corporation. May 2010:6.
  • 3Shvachko Konstantin, Kuang Hairong, Radia Sanjay, et al. The Hadoop distributed file system[C]. The 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST). Lake Tahoe: IEEE Computer Society, 2010:1-10.
  • 4Rys M. scalable SQL[J]. Communications of the ACM, 2011,54(6):48-53.
  • 5NoSQL [OL].2011. http://zh.wikipedia.org/wiki/NoSQL.
  • 6NoSQL [OL].2011. http://nosql-databases.org/.
  • 7Campbell D G, Kakivaya G, Ellis N. Exlreme scale with full SQL language support in Microsoft SQL azure[C]. In: Proc. of the SIGMOD. New York: ACM Press, 2010: 1021-1024.
  • 8Brantner M, Florescu D, Graf D, et al. Building a database on S3[C].In: Proc. of the SIGMOD. New York: ACM Press, 2008: 251-264.
  • 9Candia G, Hastorun D, Jampani M, et al. Dynamo: Amazon's highly available key-value store[C]. In: Proc. of the SOSP. New York: ACM Press, 2001: 205-220.
  • 10Chang F, Dean J, Ghemawat S, et al. Bigtable: A distributed storage system for structured data[C].In: Proc. of the OSDI. New York: ACM Press, 2006.

二级参考文献45

  • 1宁焕生,张瑜,刘芳丽,刘文明,渠慎丰.中国物联网信息服务系统研究[J].电子学报,2006,34(B12):2514-2517. 被引量:151
  • 2J Dean,S Ghemawat.MapReduce:Simplified data processing on large clusters[J].Communications of the ACM,2008,51(1):107-113.
  • 3J L Wagener.High performance fortran[J].Computer Standards & Interfaces,Elsevier,1996,18(4):371-377.
  • 4W Gropp,E Lusk,et al.Using MPI:Portable Parallel Programming with the Message Passing Interface[M].Cambridge:MIT Press,1999.1-350.
  • 5A Geist,A Beguelin,et al.PVM:Parallel Virtual Machine:A Users' Guide and Tutorial for Networked Parallel Computing[M].Cambridge:MIT Press,1995.1-299.
  • 6A Verma,N Zea,et al.Breaking the mapreduce stage barrier .Proc of IEEE International Conference on Cluster Computing .Los Alamitos:IEEE Computer Society,2010.235-244.
  • 7H C Yang,A Dasdan,et al.Map-Reduce-Merge:Simplified relational data processing .Proc of ACM SIGMOD International Conference on Management of Data .New York:ACM,2007.1029-1040.
  • 8S V Valvag,D Johansen.Oivos:Simple and efficient distributed data processing .Proc of IEEE International Conference on High Performance Computing and Communications .Piscataway:IEEE,2008.113-122.
  • 9Z Vrba,P Halvorsen,et al.Kahn process networks are a flexible alternative to mapreduce .Proc of IEEE International Conference on High Performance Computing and Communications .Piscataway:IEEE,2009.154-162.
  • 10Apache hadoop .http://lucene.apache.org/hadoop/,2010-10-15/2010-12-28.

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