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Fuzzy Neighborhood Allocation (FNA): A Fuzzy Approach to Improve Near Neighborhood Allocation in DDB

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Advances in Computer Science and Engineering (CSICC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 6))

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Abstract

Allocating data fragments in distributed database systems is an important issue in distributed database (DDB) systems. In this paper, we are going to improve the effectiveness of current NNA algorithm using a Fuzzy inference engine. Results indicate that, our fuzzy based NNA algorithm leads 5% gain in some of systems performance metrics. This algorithm, providing a data clustering mechanism, which is very suitable for DDBS in the networks, with heavy traffic loads, and frequent data access requests.

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References

  1. Berkan, R.C., Trubatch, S.L.: Fuzzy Systems Design Principles. IEEE Press, New York (1997)

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Author information

Authors and Affiliations

  1. Database Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, North Karegar Ave., Tehran, Iran

    Reza Basseda

  2. Database Research Group, Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, North Karegar Ave., Tehran, Iran

    Maseud Rahgozar & Caro Lucas

Authors
  1. Reza Basseda
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  2. Maseud Rahgozar
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  3. Caro Lucas
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Editor information

Editors and Affiliations

  1. IPM School of Computer Science, and Department of Computer Engineering, Sharif Unversity of Technology, Azadi Street, Tehran, Iran

    Hamid Sarbazi-Azad

  2. Department of Electrical and computer Engineering, UC Irvine, California, USA

    Behrooz Parhami

  3. Department of Computer Engineering, Sharif University of Technology,, Azadi Street, Tehran, Iran

    Seyed-Ghassem Miremadi

  4. Department of Computer Engineering, Sharif University of Technology, Azadi Street, Tehran, Iran

    Shaahin Hessabi

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© 2008 Springer-Verlag Berlin Heidelberg

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Basseda, R., Rahgozar, M., Lucas, C. (2008). Fuzzy Neighborhood Allocation (FNA): A Fuzzy Approach to Improve Near Neighborhood Allocation in DDB. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_114

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  • DOI: https://doi.org/10.1007/978-3-540-89985-3_114

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89984-6

  • Online ISBN: 978-3-540-89985-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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