DocumentCode :
2976086
Title :
Design of enhanced software protection architecture by using theory of inventive problem solving
Author :
Kim, Song-Kyoo
Author_Institution :
Mobile Commun. Div., Samsung Electron., Gumi, South Korea
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
978
Lastpage :
982
Abstract :
This paper is dealing with the stochastic maintenance method for the software protection by using the closed queueing model with the unreliable backups. The method shows the theoretical software protection scheme in the security perspective. If software application modules are represented as backups under proposed architecture, the system can be solved by using the stochastic maintenance model with main unreliable and random auxiliary spare resources with replacement policies. In addition, the practical approach of technology enhancement in software engineering by using the technology innovation tool that is called TRIZ. The results are demonstrated in the framework of optimized software allocation problems with unreliable backups.
Keywords :
problem solving; queueing theory; security of data; software architecture; software maintenance; stochastic processes; closed queueing model; enhanced software protection architecture; inventive problem solving theory; random auxiliary spare resources; software allocation problems; software application modules; software engineering; software maintenance; stochastic maintenance method; technology innovation tool; Application software; Computer architecture; Problem-solving; Security; Software design; Software engineering; Software maintenance; Software protection; Stochastic processes; Stochastic systems; Security system; TIPS; TRIZ; architecture design; duality principle; stochastic optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
Type :
conf
DOI :
10.1109/IEEM.2009.5373528
Filename :
5373528
Link To Document :
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