摘要
研究高效的分布式数据库完整性技术以准确评估完整性检查的预期代价,现在仍是一个难以解决的问题.为此,文中提出了一个新的完整性检查策略,设计了分别采取局部预测试策略和支持测试策略的两种完整性测试生成算法,并使用人工智能的降维技术建立代价评估模型,为完整性检查代价估算提供一个量化比对的依据.文中还通过分布式数据库实验对完整性测试、数据获取量、网络数据传送量和参与计算的网络站点数进行了验证,结果表明,文中提出的策略、算法有效降低了分布式数据库的完整性检查代价,所建立的代价评估模型能对代价进行准确评估.
In order to develop an efficient integrity technology of distributed database for the evaluation of prospective cost of integrity checking,a new integrity checking strategy is proposed,and two generation algorithms respectively based on the local pretest strategy and the support test strategy are designed.Moreover,a model to evaluate the cost of integrity checking is established by using the dimension-reducing technology of artificial intelligence,which provides a base for the quantitative intercomparsion of cost evaluation of integrity checking.Then,the inte-grity test,the amount of accessed data,the amount of transferred data and the number of sites involved in the computation are verified by some experiments of distributed database system.The results demonstrate that the proposed strategy and algorithms effectively reduce the integrity checking cost of distributed database,and that the established cost evaluation model is of high accuracy.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第1期131-137,共7页
Journal of South China University of Technology(Natural Science Edition)
基金
广东省科技计划项目(2009B050700008)
广东省教育部产学研结合项目(2010B090400335)
韶关学院科研项目(201020704)
关键词
分布式数据库
完整性测试
代价评估
检查策略
约束
distributed database
integrity test
cost evaluation
checking strategy
constraint
