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Reliability of Node Information on Autonomous Load Distribution Method

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Advances in Information Processing and Protection

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Abstract

We have proposed “Autonomous Load Distribution (ALD) Method” as one of the load distribution algorithm for multi-computer system. In ALD Method, a node has other nodes information to request for task processing with making a list of candidate. In this paper, we study reliability of node information. Reliability of node information is important issue because its measure concerns whether the node distributes load effectively or not. To show that point, we simulated under a given set of conditions.

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References

  1. N.G.Shivaratri, P.Krueger, and M.Singhal. “Load distributing for locally distributed systems”. IEEE Computer, 25, No.12, pp. 33-44, Dec.1992.

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  4. S.Miyazaki and S.Kobayashi. “Improvement of Autonomous Load Distribution Algorithm with Receiver Initiated Mechanism”. IPSJSIG Notes, 2001-DPS-102, pp.139-144.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Ehime University, 3 Bunkyou-cho, Matsuyama, Ehime, 790-8577, Japan

    Michihiko Kudo, Koichi Kashiwagi, Yoshinobu Higami & Shin-Ya Kobayashi

Authors
  1. Michihiko Kudo
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  2. Koichi Kashiwagi
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  3. Yoshinobu Higami
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  4. Shin-Ya Kobayashi
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Editor information

Editors and Affiliations

  1. Szczecin University of Technology, Faculty of Computer Science, Zolnierska 49, 71 210 Szczecin, Poland

    Jerzy Pejaś

  2. Bialystock Technical University, Faculty of Computer Science, Wiejska 45A, 15-351 Bialystok, Poland

    Khalid Saeed

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© 2007 Springer Science+Business Media, LLC

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Kudo, M., Kashiwagi, K., Higami, Y., Kobayashi, SY. (2007). Reliability of Node Information on Autonomous Load Distribution Method. In: Pejaś, J., Saeed, K. (eds) Advances in Information Processing and Protection. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73137-7_35

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  • DOI: https://doi.org/10.1007/978-0-387-73137-7_35

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-73136-0

  • Online ISBN: 978-0-387-73137-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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