文章基本信息

标题：ARMS: An Agent-Based Resource Management System for Grid Computing
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作者：Junwei Cao, Stephen A. Jarvis, Subhash Saini, Darren J. Kerbyson ; Graham R. Nudd
期刊名称：Scientific Programming
印刷版ISSN：1058-9244
出版年度：2002
卷号：10
DOI：10.1155/2002/910792
出版社：Hindawi Publishing Corporation
摘要：Resource management is an important component of a grid computing infrastructure. The scalability and adaptability of such systems are two key challenges that must be addressed. In this work an agent-based resource management system, ARMS, is implemented for grid computing. ARMS utilises the performance prediction techniques of the PACE toolkit to provide quantitative data regarding the performance of complex applications running on a local grid resource. At the meta-level, a hierarchy of homogeneous agents are used to provide a scalable and adaptable abstraction of the system architecture. Each agent is able to cooperate with other agents and thereby provide service advertisement and discovery for the scheduling of applications that need to utilise grid resources. A case study with corresponding experimental results is included to demonstrate the efficiency of the resource management and scheduling system.