DocumentCode :
2507721
Title :
Novel management architecture for large-scale server cluster
Author :
Xue, Zhenghua ; Dong, Xiaoshe ; Fan, Shengqun
Author_Institution :
Dept. of Comput. Sci. & Technol., Xian Jiaotong Univ., Xian
fYear :
2008
fDate :
8-11 July 2008
Firstpage :
273
Lastpage :
278
Abstract :
As the size of the server cluster increases, management of clusters has been a daunting task. This paper proposed novel management architecture for large-scale server clusters, called cooperation-oriented hierarchical autonomic architecture (CHAA). CHAA emphasizes the autonomy of entities to implement intelligent management of server clusters. We detailed the architectures of CHAA and the intelligent agents. The resource tree based constraining mechanism has been presented to achieve conflict-free cooperation of multiple autonomous entities. Considering the uncertainty of agentspsila commitments, we introduced fuzzy belief and confidence degree into cooperation method of multi-agent. The measurements on confidence degree (cd) showed that agents have higher probabilities of gaining the best method or the best agent to cooperate with by introducing cd as a metric of cooperation.
Keywords :
large-scale systems; multi-agent systems; pattern clustering; software architecture; confidence degree; conflict-free cooperation; cooperation-oriented hierarchical autonomic architecture; fuzzy belief; intelligent management; large-scale server cluster; management architecture; multiagent method; multiple autonomous entities; Clustering algorithms; Computer architecture; Engines; Hardware; International collaboration; Large-scale systems; Load management; Scalability; Software agents; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2008. CIT 2008. 8th IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-2357-6
Electronic_ISBN :
978-1-4244-2358-3
Type :
conf
DOI :
10.1109/CIT.2008.4594686
Filename :
4594686
Link To Document :
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