DocumentCode :
2937772
Title :
A Multi-objective DR Service Deployment Algorithm Based on Improved AntNet-CO
Author :
Huang, Zhibao ; Xie, Min ; Jiang, Yanhuang ; Chen, Haitao ; Wang, Shaoshuai
Author_Institution :
Dept. of Comput., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2009
fDate :
18-20 Sept. 2009
Firstpage :
51
Lastpage :
56
Abstract :
When disaster happens, it is necessary to employ efficient and accurate methods to select the best service from many service backed sites to control DR (Disaster Recovery) activities. Aim at the service deployment algorithm is not suit for MultiObjective DR of policy and target distinct. This paper presents a novel algorithm MOGOSD (MultiObjective Global Optimal Service Deployment) to resolve service deployment with QoS global optimal Based on Improved AntNet-CO algorithm in above DR system. The theory of intelligent optimization of MultiObjective genetic algorithm is utilized to product a set of optimal Pareto service select, with means of optimizing various objective functions simultaneously. Experimental results indicate the feasibility and efficiency of this algorithm.
Keywords :
Pareto optimisation; business continuity; cooperative systems; genetic algorithms; grid computing; AntNet-CO algorithm; DR service deployment algorithm; disaster recovery; multiobjective genetic algorithm; optimal Pareto service select; Application software; Computational modeling; Disaster management; Local area networks; Mathematical model; Monitoring; NP-complete problem; Network servers; Pareto optimization; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information Systems and Applications Conference, 2009. WISA 2009. Sixth
Conference_Location :
Xuzhou, Jiangsu
Print_ISBN :
978-0-7695-3874-7
Type :
conf
DOI :
10.1109/WISA.2009.37
Filename :
5370602
Link To Document :
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