Abstract
An XML publish/subscribe algorithm needs to store large numbers of XPath or XQuery subscriptions and match subscriptions with published XML documents. Since the number of the subscriptions may be very large, the performance and the scalability of the algorithm may be critical. The scalability of the method of constructing a large finite state automata or decision tree for all subscriptions is limited by amount of available physical memory. In this paper, we will introduce an XML publish/subscribe algorithm which is consisted of the publish algorithm, subscribe algorithm, and matching algorithm. The matching algorithm uses relational operators to match subscriptions with publications inside a relational database, so the scalability of the algorithm is no longer limited by amount of available physical memory. Experimental results show that the matching algorithm has very good performance and scalability.
Supported by NSF of China Grants 60473051 and 60503037, NSF of Beijing China Grant 4062018, and National High-Technical Project of China Grant 2006AA01Z230.
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Zhao, J., Yang, D., Gao, J., Wang, T. (2007). An XML Publish/Subscribe Algorithm Implemented by Relational Operators. In: Dong, G., Lin, X., Wang, W., Yang, Y., Yu, J.X. (eds) Advances in Data and Web Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72524-4_33
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DOI: https://doi.org/10.1007/978-3-540-72524-4_33
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