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Research of storage technique for C-Temporal Relation Datum Model based on improved genetic algorithm

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4 Author(s)
Zhiwen Wang ; Department of Computer & Engineering, Guangxi University of Technology, Liuzhou, 545006, China ; Shaozi Li ; MeiZhen Liu ; Qixian Cai

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.

Published in:

IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on

Date of Conference:

12-14 Dec. 2008