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
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;
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
DOI :
10.1109/ITME.2008.4743829