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Distributed Computing and Artificial Intelligence pp 147–154Cite as

Multiple Agents for Data Processing

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 217))

Abstract

This paper proposes a distributed processing framework inspired from data processing. It unique among other data processing for large-scale data, socalled bigdata, because it can locally process data maintained in distributed nodes, including sensor or database nodes with non-powerful computing capabilities connected through low-bandwidth networks. It usesmobile agent technology as amechanism to distribute and execute data processing tasks to distributed nodes and aggregate their results. The paper outlines the architecture of the framework and evaluates its basic performance.

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References

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Author information

Authors and Affiliations

  1. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan

    Ichiro Satoh

Authors
  1. Ichiro Satoh
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Corresponding author

Correspondence to Ichiro Satoh .

Editor information

Editors and Affiliations

  1. Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan

    Sigeru Omatu

  2. Department of Computing Science, University of Minho, Braga, Portugal

    José Neves

  3. Dept. of Computing Science and Control, University of Salamanca, Salamanca, Spain

    Juan M. Corchado Rodriguez

  4. Department of Computing Science, University of Salamanca, Salamanca, Spain

    Juan F Paz Santana

  5. Department of Computing Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez Gonzalez

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© 2013 Springer International Publishing Switzerland

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Satoh, I. (2013). Multiple Agents for Data Processing. In: Omatu, S., Neves, J., Rodriguez, J., Paz Santana, J., Gonzalez, S. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-00551-5_18

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  • DOI: https://doi.org/10.1007/978-3-319-00551-5_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00550-8

  • Online ISBN: 978-3-319-00551-5

  • eBook Packages: EngineeringEngineering (R0)

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