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A Self-Organized Model of Agent-Enabling Autonomic Computing for Grid Environment

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4 Author(s)
Hang Guo ; Inst. of Artificial Intelligence, Zhejiang Univ. ; Ji Gao ; Peiyou Zhu ; Fan Zhang

Agent-enabling autonomic computing is a promising solution to the system management troubles caused by increasing complexity of large scale, distributed systems. This paper presents a self-organized model of agent-enabling autonomic computing for grid environment. This new model adopts intelligent agents as autonomic elements and enables these agent-based elements to dynamically organize system management works without centralized control or directions. In the element level, each agent possesses some capabilities and interests based on its managed resources, and governs internal affairs to achieve elementary autonomy. In the system level, they contribute their capabilities on the functions of system management, and cooperate together to implement autonomic computing for system. Cooperative works are organized by dynamically associated relationships among autonomic elements (agents), including acquaintance, collaboration and notification. The self-organized model is more suitable for such environments as grid, which is characterized by distributed, open and dynamic properties

Published in:

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on  (Volume:1 )

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