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一种面向智能电网的实时数据库数据完整性恢复方法 被引量:6

A Data Integrity Recovery Method in Real-time Database for Smart Grid
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摘要 实时数据库管理系统是智能电网调度自动化系统的核心内容之一,其对于智能电网的安全运行起着重要的作用。随着智能电网开放性的增加,实时数据库中的数据安全,尤其是完整性安全问题受到关注。文中提出一种针对智能电网中基于IEC 61970标准的实时数据库中数据的完整性恢复算法——RDIR算法。该方法在数据库中数据完整性遭到破坏之后,可以仅回滚恶意事务和受其影响的后继事务,而无需回滚所有的事务,且在恢复过程中可以避免由于事务撤销而产生的撤销冲突,缩短了数据库恢复所用的时间,从而提高了实时数据库系统的生存性。 As one of the cores of the dispatching automation system, the real-time database management system (DBMS) plays an important role in the safe operation of the smart grid. Nevertheless, with the increase of the openness of the smart grid, the data security in the real-time database, especially the integrity of the security issues, is becoming a matter of ever-increasing concern. An algorithm for the integrity restoring of the data in the real-time database that conforms to the IEC 61970 standard, i. e., RDIR algorithm, is proposed. With this method, after the data integrity is destroyed, the real-time database has only to roll back the malicious and affected transactions rather than all the transactions. Moreover, the undo conflict due to the transaction undo in the recovery process can be avoided, thus reducing the database recovery time and improving the survivability of the real-time database system.
出处 《电力系统自动化》 EI CSCD 北大核心 2013年第13期93-98,共6页 Automation of Electric Power Systems
基金 河北省高等学校科学研究计划资助课题(Z2012077 Z2010290)~~
关键词 智能电网 IEC 61970 实时数据库 数据完整性 RDIR算法 smart grid IEC 61970 real-time database data integrity RDIR algorithm
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  • 1樊鹏翔.数据库碎片整理及优化策略ORACLE[J].信息通信,2003,16(2):28-30. 被引量:1
  • 2钱笑宇,张彦武.工业实时数据库的研究和设计[J].计算机工程,2005,31(1):98-99. 被引量:29
  • 3朱龙观,俞庆森.具有较大数据库的疏水常数计算机辅助碎片加合性计算[J].化学通报,1995(9):28-30. 被引量:1
  • 4林其东.ORACLE数据库优化设计方案的研究[J].安阳工学院学报,2006,5(3):40-44. 被引量:3
  • 5Chang Lily, He Xudong. A model transformation approachfor verifying multi-agent systems using SPIN [ C ]// Pro-ceedings of the 2011 ACM Symposium on Applied Compu-ting. 2011:3742.
  • 6Cai Jin-yi, Kowalczyk M,Williams T. Gadgets and anti-gadgets leading to a complexity dichotomy [ C ] // Proceed-ings of the 3rd Innovations in Theoretical Computer ScienceConference. 2012:452467.
  • 7Belcour L, Soler C. Frequency based kernel estimation forprogressive photon mapping [C]// Proceedings of SIG-GRAPH Asia 2011 Posters. 2011: Article No. 47.
  • 8Rottenstreich 0,Tapolcai J. Lossy compression of packetclassifiers [ C ] // Proceedings of the 11th ACM/IEEE Sym-posium on Architectures for Networking and Communica-tions Systems. 2015:39-50.
  • 9Navarro G. Implementing the LZ-index: Theory versus prac-tice[J]. Journal of Experimental Algorithmics, 2009,13 ( 2):Article No. 2.
  • 10Bannai H, Inenaga S, Takeda M,et al. Efficient LZ78factorization of grammar compressed text string [ C ] // Pro-ceedings of the 19th International Conference on String Pro-cessing and Information Retrieval. 2012:86-98.

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