DocumentCode :
694698
Title :
Method of Architecture Core Data Optimization Design Based on DM2
Author :
Xiaoxue Zhang ; Aimin Luo ; Xueshan Luo
Author_Institution :
Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
7-8 Dec. 2013
Firstpage :
13
Lastpage :
19
Abstract :
Based on the complexity in military information systems architecture design, we proposed the concepts of architecture optimization design. After analyzed application of logical data meta-model (DM2) in building architecture data and products, we built a framework of architecture optimization design. Combined with the building sequence and designing guidelines of architecture data and products, we proposed architecture core data optimization design process. After analyzing the main contents of taking architecture optimization design, the goals and the guidelines of building mathematical models of architecture core data optimization design are put forward. Finally, we took the optimization design of activity data as an example, built the corresponding mathematical model, and illustrated relative optimization method. Architecture core data optimization design method affords a realizable approach of making architecture design solutions more quantitatively, scientifically, and automatically.
Keywords :
military computing; optimisation; DM2; activity data optimization design; architecture core data optimization design method; architecture products; designing guidelines; logical data meta-model; main content analysis; mathematical models; military information system architecture design; relative optimization method; sequence guidelines; Architecture; Computer architecture; Data models; Design methodology; Mathematical model; Object oriented modeling; Optimization; Military information systems; architecture; data meta-model; optimization design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
Conference_Location :
Guangzhou
Type :
conf
DOI :
10.1109/ISCC-C.2013.84
Filename :
6973562
Link To Document :
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