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Design and Analysis of a Novel Load-Balancing Model Based on Mobile Agent

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Advances in Machine Learning and Cybernetics

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3930))

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Abstract

Associating with the self-designed distributed database server system and studying the objective description and definition of load index, this paper proposes a three-level management framework of distributed redundant service system, introduces an active load-balancing idea into the system, and then presents the load-balancing model based on mobile agent. The performance of the system is finally analyzed. Compared with traditional distributed computing models, we conclude the novel model has lower cost, higher reliability, higher expandability, higher throughput, and higher efficiency.

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Author information

Authors and Affiliations

  1. Institute of Computer Network Technology, Hebei University, Baoding, 071002, P.R. China

    Junfeng Tian, Yuling Liu, Xiaohui Yang & Ruizhong Du

Authors
  1. Junfeng Tian
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  2. Yuling Liu
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  3. Xiaohui Yang
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  4. Ruizhong Du
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Editor information

Editors and Affiliations

  1. Department of Computing, Hong Kong Polytechnic University, P.O. Box, Hong Kong, China

    Daniel S. Yeung

  2. School of Creative Media, City University of Hong Kong,, China

    Zhi-Qiang Liu

  3. Department of Mathematics and Computer Science, Hebei University, 071002, Baoding, Hebei, P.R. China

    Xi-Zhao Wang

  4. School of Electrical and Information Engineering, University of Sydney, 2006, NSW, Australia

    Hong Yan

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© 2006 Springer-Verlag Berlin Heidelberg

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Tian, J., Liu, Y., Yang, X., Du, R. (2006). Design and Analysis of a Novel Load-Balancing Model Based on Mobile Agent. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_8

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  • DOI: https://doi.org/10.1007/11739685_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33584-9

  • Online ISBN: 978-3-540-33585-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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