DocumentCode
2306118
Title
Research of storage technique for C-Temporal Relation Datum Model based on improved genetic algorithm
Author
Wang, Zhiwen ; Li, Shaozi ; Liu, MeiZhen ; Cai, Qixian
Author_Institution
Dept. of Comput. & Eng., Guangxi Univ. of Technol., Liuzhou
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
90
Lastpage
96
Abstract
As there is datum redundancy in tradition database and temporal database in existence and the quantities of temporal database are increasing fleetly. We put forward compress storage tactics basing on improved genetic algorithm for temporal datum which combine compress technology in existence in order to settle datum redundancy in the course of temporal datum storage, and this means can enhance speed of removing datum redundancy and ratio of compress for temporal datum largely. Temporal datum of slow acting domain and momentary acting domain are accessed by using each from independence clock method and mutual clock method.We also bring forward strategy of gridding storage to resolve the problems of temporal datum rising rapidly.
Keywords
genetic algorithms; storage management; temporal databases; C-temporal relation datum model; compress storage tactics; datum redundancy; genetic algorithm; temporal database; temporal datum storage; Algebra; Clocks; Cognitive science; Computer science education; Data compression; Data models; Databases; Forward contracts; Genetic algorithms; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-3616-3
Electronic_ISBN
978-1-4244-2511-2
Type
conf
DOI
10.1109/ITME.2008.4743829
Filename
4743829
Link To Document