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Run-Time Load Balancing System on SAN-connected PC Cluster for Dynamic Injection of CPU and Disk Resource —A Case Study of Data Mining Application —

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Database and Expert Systems Applications (DEXA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2453))

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Abstract

PC cluster system is an attractive platform for data-intensive applications. But the conventional shared-nothing system has a limit on load balancing performance and it is dificult to change the number of nodes and disks dynamically during execution. In this paper, we develop dynamic resource injection, where the system can inject CPU power and expand I/O bandwidth by adding nodes and disks dynamically in the SAN(Storage Area Network)-connected PC cluster. Our experiments with data mining application confirm its effectiveness. We show the advantages of combining PC cluster with SAN.

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References

  1. R. Agrawal and R. Srikant. Fast Algorithms for Mining Association Rules. In Proceedings of the Twentieth International Conference on Very Large Data Bases, 1994.

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  2. M. Oguchi and M. Kitsuregawa. Dynamic Data Declustering on SAN-Connected PC Cluster for Parallel Data Mining. In Proc. of the IPSJ Workshop on Database System, 2001.

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  4. M. Tamura and M. Kitsuregawa. Dynamic Load Balancing for Parallel Association Rule Mining on Heterogeneous PC Cluster Systems. In Proceedings of the Twenty-fifth International Conference on Very Large Data Bases, 1999.

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Author information

Authors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Japan

    Kazuo Goda & Masaru Kitsuregawa

  2. Mitsubishi Electric Corporation, Japan

    Takayuki Tamura

  3. Research and Development Initiative, Chuo University, Japan

    Masato Oguchi

Authors
  1. Kazuo Goda
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  2. Takayuki Tamura
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  3. Masato Oguchi
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  4. Masaru Kitsuregawa
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Editor information

Editors and Affiliations

  1. Université Paul Sabatier, IRIT, 118 route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  2. Département Informatique, Université Aix-Marseille II, IUT, 413 Avenue Gaston Berger, 13625, Aix-en-Provence Cedex 1, France

    Rosine Cicchetti

  3. Institute of Applied Computer Science, University of Linz, Altenbergerstr. 69, 4040, Linz, Austria

    Roland Traunmüller

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© 2002 Springer-Verlag Berlin Heidelberg

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Goda, K., Tamura, T., Oguchi, M., Kitsuregawa, M. (2002). Run-Time Load Balancing System on SAN-connected PC Cluster for Dynamic Injection of CPU and Disk Resource —A Case Study of Data Mining Application —. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_19

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  • DOI: https://doi.org/10.1007/3-540-46146-9_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44126-7

  • Online ISBN: 978-3-540-46146-3

  • eBook Packages: Springer Book Archive

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