Abstract
In this paper, we undertake the problem of multiple join operations in data grid environment. To get convenience in data transference among grid nodes, we propose an n-way relation-reduction algorithm that reduces the relation tuples before the execution of join operation. A new method is developed that can accurately estimate the cardinalities of the join results in each step. The experiments and analytical results depict the effectiveness of the proposed multiple join algorithm for minimizing the total amount of data transmission, parallel and efficient joining of the data to improve query responses in data grid.
This work is supposed by the National Natural Science Foundation of China, Grant No. 60273082 and 60473075.
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Yang, D., Rasool, Q., Zhang, Z. (2006). Multiple Join Processing in Data Grid. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds) Frontiers of WWW Research and Development - APWeb 2006. APWeb 2006. Lecture Notes in Computer Science, vol 3841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610113_75
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DOI: https://doi.org/10.1007/11610113_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31142-3
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