Title :
Research on the solution to redundancy of temporal data
Author :
Xiaoyi, Zhang ; Jing, Qian ; Qing, Wu
Author_Institution :
Nanjing Telecommun. Technol. Inst., Nanjing, China
Abstract :
A dynamic data with amendments model is proposed here on the basis of the base state with amendments model. Combined with the double-database strategy which stores history data and current data respectively, the new model further becomes the double-database strategy dynamic data with amendments model. Employing this model to store and manage temporal data can effectively reduce the data redundancy and improve the efficiency of current data query.
Keywords :
data models; relational databases; amendments model; current data; data redundancy; double-database strategy; dynamic data; history data; temporal data; Databases; History; data redundancy; temporal data; temporal relational data model;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620368
