DocumentCode :
2182169
Title :
Artificial Immune Evaluation Model of Service Health Level on End-to-End Network
Author :
Zhang, Guojun ; Ha, Weitao
Author_Institution :
Dept. of Comput. Sci., Weinan Teachers Univ., Weinan, China
Volume :
1
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
234
Lastpage :
237
Abstract :
ENHMM, Evaluation model of network service health level, is constructed based on multidimensional network performance. The model supports to customize evaluation factors dynamically, and gives the methods of active measurement for the network performance based on the evaluation attributes. To evaluation algorithm, AiNet immune algorithm is used, in which a new mechanism of antibody promotion and suppression is used. Real network is evaluated by prototypes system, and service health level of network is gotten.
Keywords :
artificial immune systems; health care; AiNet immune algorithm; artificial immune evaluation model; customize evaluation; evaluation algorithm; network service health level; service health level; Adaptive systems; Bandwidth; Classification algorithms; Clustering algorithms; Education; Indexes; Testing; AiNet immune network; evaluation factor; linear regress model; network service health level;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8094-4
Type :
conf
DOI :
10.1109/ISCID.2010.76
Filename :
5692707
Link To Document :
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