DocumentCode :
2240176
Title :
The research of a resource-aware cloud computing architecture based on web security
Author :
Xiaoni Wang ; Xuedong Gao
Author_Institution :
Dongling Sch. of Econ. & Manage., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2012
fDate :
Oct. 30 2012-Nov. 1 2012
Firstpage :
440
Lastpage :
443
Abstract :
Web hosting has a lot of problems, such as low security, waste of bandwidth resource or sudden lack of resource. A self-adaptive cloud computing architecture - RA-Cloud architecture (Resource-aware Cloud Computing Architecture) based on web security in resource-aware situation is proposed. This architecture uses cloud computing technology and self-adaptive linear regression model to estimate the dynamic migration threshold and to search the most suitable neighbor node for data migration. This platform and algorithm distributes the huge amount of computing resource to many server “end” according to the resource constrained self-adaptive policy. The new method increases the user access speed, enhances the anti-attack ability, blocks the attacks effectively and improves the web site security.
Keywords :
Web sites; cloud computing; regression analysis; security of data; RA-cloud architecture; Web hosting; Web site security; antiattack ability; data migration; dynamic migration threshold estimation; neighbor node; resource constrained self-adaptive policy; resource-aware cloud computing architecture; resource-aware situation; self-adaptive cloud computing architecture; self-adaptive linear regression model; server end; Cloud computing; Computational modeling; Computer architecture; Linear regression; Security; Servers; Service-oriented architecture; Cloud computing architecture; Linear regression model; Resource-aware; Self-adaptive; Web security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
Type :
conf
DOI :
10.1109/CCIS.2012.6664444
Filename :
6664444
Link To Document :
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