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

Content Provider	IEEE Xplore Digital Library
Author	Hang Guo Ji Gao Peiyou Zhu Fan Zhang
Copyright Year	2006
Description	Author affiliation: Inst. of Artificial Intelligence, Zhejiang Univ. (Hang Guo)
Abstract	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
Starting Page	2623
Ending Page	2627
File Size	165576
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712837
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Grid computing Collaborative work Distributed computing Centralized control Humans Computer vision Environmental management Multiagent systems Artificial intelligence Large-scale systems Grid Autonomic Computing Multi-Agent
Content Type	Text
Resource Type	Article

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