DocumentCode :
1865198
Title :
Dendritic cell algorithm for web server aging detection
Author :
Huan Yang ; Shijie Yi ; Yiwen Liang ; Jun Fu ; Chengyu Tan
Author_Institution :
School of Computer Science, Wuhan University, China
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
760
Lastpage :
763
Abstract :
Web server aging refers to the phenomenon that web servers show progressive performance degradation after long-time continuous execution. Traditionally, analysis and detection of web server aging have been restricted by the nondeterministic nature. The immune-inspired negative selection algorithm (NSA) succeeds in detecting novel aging without aging samples, because of its adaptive and learning features. However, the NAS generates more false positives (FP) due to the crisp separation between self and non-self. As a hotspot method of artificial immune systems, dendritic cell algorithm (DCA) improves the NSA to some extent owing to its low FP rate and quick action characteristics. This paper proposed a method to apply the dendritic cell algorithm to detect and analyze web server aging. As a novel algorithm inspired by both theoretical immunology and observed immune principles and models, DCA would be a beneficial method to improve the quality of service in web server systems.
Keywords :
Artificial Immune Systems (AIS); Dendritic Cell Algorithm (DCA); Web Server Aging Detection;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1088
Filename :
6492695
Link To Document :
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