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