期刊文献+

能源互联网信息特征及其云平台处理技术 被引量:8

The Energy Interconnection Information Characteristics and Its Cloud-Based Processing Technology
下载PDF
导出
摘要 能源互联网是实现能量流和信息流耦合的分布式互联系统,分析其信息的特征和处理技术是研究能源互联网若干复杂性问题的基础。文章综述了国内外研究现状,并结合云平台前沿技术,分析了现有的数据中心对能源互联网海量信息存储和处理方面的不足,论述了能源互联网的云计算平台应该是混合云的体系结构,认为能源互联网信息的特征决定了云平台是实现信息有效控制、保证能量有序流动的最佳途径。 Energy interconnection(EI) is a distributed and interconnected system, where energy flow is tightly coupled to information flow. Analysis of the characteristics and processing technology is the foundation of further research on other complexity EI problems. After summarizing current research situation and analyzing the lack of information storage and processing in the existing data center with the cutting-edge technology in cloud platform, this paper discusses the energy interconnection cloud computing platform should be a hybrid cloud architecture. And this paper argues that the information characteristics of EI determine the cloud platform is the best way to realize the effective control of information and ensure the orderly flow of energy.
出处 《电力信息与通信技术》 2016年第9期28-32,共5页 Electric Power Information and Communication Technology
关键词 能源互联网 新能源 信息技术 分布式 云计算 energy interconnection renewable energy resources information technology distributed cloud computing
  • 相关文献

参考文献4

二级参考文献54

  • 1国家保密局.计算机信息系统国际联网保密管理规定[EB/OL].http://www.cnnic.net.cn/html/Dir/2003/11/27/1482.htm,2000-01.
  • 2Net Gap WebSite.Products Security Platform[EB/OL].http://www.spearheadsecurity.com/site/products/netgap_201.html,2003.
  • 3E-Gap WebSite.Products and Technology: e-Gap Application Firewall[EB/OL].http://www.whalecommunications.com,2003.
  • 4Zhou B, Pei J. Preserving privacy in social networks against neighborhood attacks[ A] .2008 ml.l. 24 International Confer-ence on Dam Engineering[ C]. Cancun, Mexico: IEEE Comput- er Society,2008. 506 - 515.
  • 5Liu K, Terzi E. Towards identity anonymization on graph[ A]. 2008 ACM SIGMOD International Conference on Management of Data [ C ]. Vancouver, Canada: Association for Computing Machinery,2008.93 - 106.
  • 6Zou L, Chen L, 0zsu M T. K-automorphism: A general frame- work for privacy preserving network publication [ J ]. Proceed- ings of the VLDB Endowment, 2009,2(1) :946 - 957.
  • 7Hay M, Mikian G, Jensen D, Weis P, et al. Anonymizing social networks[ R]. University of Massachusetts Amherst,2007.
  • 8Ying X W,Wu X T. Randomizing social networks:A spectrum preserving approach[ A ]. 2008 8 SIAM International Confer- ence on Data Mining[ C]. Atlanta, United States:Society for In- dustrial and Applied Mathematics Publications, 2008. 739- 750.
  • 9Liu L, Wang J, Liu J et al. Privacy preserving in social net- works against sensitive edge disclosure E R ]. Department of Computer Science, University of Kentucky, 2008.
  • 10Das S,Egeciogiu 0,Abbadi A E. An6nimos: An I_P-based ap- proach for anonymizing edge-weighted social network graphs [ J ]. IEEE Transactions on Knowledge and Data Engineering, 2012,4(4) :590 - 603.

共引文献48

同被引文献114

引证文献8

二级引证文献39

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部