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Modeling and Analysis of a Parallel Nested Loop Join on Cluster Architectures

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Parallel and Distributed Processing and Applications (ISPA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3758))

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Abstract

We develop a concise but comprehensive analytical model for the well-known Nested Loop Join algorithm on cost effective cluster architectures. We concentrate on a limited number of characteristic parameters to keep the analytical model clear and focused. We believe that a meaningful model can be built upon only three characteristic parameter sets, describing main memory size, the I/O bandwidth and the disk bandwidth. We justify our approach by a practical implementation and a comparison of the theoretical and real performance values.

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References

  1. Kirkovits, P., Schikuta, E.: Parallel Join Algorithms on Clusters. In: Parallel I/O for Cluster Computing. Hermes Science Publishing Limited, pp. 133–155 (2004)

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  2. Schikuta, E., Kirkovits, P.: Cluster based hybrid hash join: Analysis and evaluation. In: Proc. IEEE International Conference on Cluster Computing. IEEE Computer Society Press, Chicago (2002)

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© 2005 Springer-Verlag Berlin Heidelberg

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Schikuta, E. (2005). Modeling and Analysis of a Parallel Nested Loop Join on Cluster Architectures. In: Pan, Y., Chen, D., Guo, M., Cao, J., Dongarra, J. (eds) Parallel and Distributed Processing and Applications. ISPA 2005. Lecture Notes in Computer Science, vol 3758. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11576235_7

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  • DOI: https://doi.org/10.1007/11576235_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29769-7

  • Online ISBN: 978-3-540-32100-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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