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An Agent-Based Grid Computing Infrastructure

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Parallel and Distributed Processing and Applications (ISPA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3758))

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Abstract

The conventional computing grid has developed a service oriented computing architecture with a super-local, two commit scheduling strategy. This architecture is limited in modeling open systems with highly dynamic and autonomous computing resources due to its server-based computing model. The use of super-local scheduling strategy also limits the utilization of the computing resources. In this paper, we propose a multi-agent based grid computing infrastructure to tackle the above issues, while provide reasonable compatibility and interoperability with the conventional grid systems and clients. Compared with the existing grids, the new infrastructure is leveraged by the intelligent agents, and therefore is more efficient and flexible for open systems.

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Author information

Authors and Affiliations

  1. School of Information Technology and Computer Science, University of Wollongong, Wollongong, NSW 2522, Australia

    Jia Tang & Minjie Zhang

Authors
  1. Jia Tang
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  2. Minjie Zhang
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Editor information

Editors and Affiliations

  1. Dept. of CS, Georgia State University, 30302, Atlanta, GA, USA

    Yi Pan

  2. State Key Laboratory for Novel Software Technology, Nanjing University, 210093, Nanjing, Jiangsu, China

    Daoxu Chen

  3. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Minyi Guo

  4. Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China

    Jiannong Cao

  5. Computer Science Department, University of Tennessee, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

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© 2005 Springer-Verlag Berlin Heidelberg

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Tang, J., Zhang, M. (2005). An Agent-Based Grid Computing Infrastructure. In: Pan, Y., Chen, D., Guo, M., Cao, J., Dongarra, J. (eds) Parallel and Distributed Processing and Applications. ISPA 2005. Lecture Notes in Computer Science, vol 3758. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11576235_64

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  • DOI: https://doi.org/10.1007/11576235_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29769-7

  • Online ISBN: 978-3-540-32100-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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