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