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Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2008)
Dec. 9, 2008 to Dec. 12, 2008
ISBN: 978-0-7695-3496-1
pp: 66-69
ABSTRACT
The ant colony optimization (ACO) algorithm is a metaheuristic inspired from the behavior of foraging ants. Instead of exploring its ability in finding optimal solutions, the current study investigates another unique property – self-healing mechanism for resource allocation in a service-oriented environment where unexpected resource breakdown can occur. A system architecture is first proposed to detect, diagnose and react to disturbances. Then the performance of the ACO self-healing mechanism is tested and compared based on a modified benchmark problem. The experimental results show that the self-healing mechanism can promptly recover an obsolete schedule with high quality solutions.
INDEX TERMS
ant colony optimization algorithm, self-healing, resource allocation, Service-Oriented environment
CITATION
Ming Luo, Haifeng Shen, Rong Zhou, Zhonghua Yang, Gang Chen, Jingbing Zhang, Ren Wei, "Ant Colony Inspired Self-Healing for Resource Allocation in Service-Oriented Environment Considering Resource Breakdown", Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, vol. 01, no. , pp. 66-69, 2008, doi:10.1109/WIIAT.2008.105
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