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Dimension Transform Based Efficient Event Filtering for Symmetric Publish/Subscribe System

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Database and Expert Systems Applications (DEXA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3588))

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Abstract

There exists a class of publish/subscribe applications, such as recruitment, insurance, personal service, classified advertisement, electronic commerce, etc., where publisher needs the capability to select subscribers. Such kinds of publish/subscribe applications are called symmetric publish/subscribe system. The existing event matching algorithms designed for traditional publish/subscribe systems (called asymmetric publish/subscribe system) can not be applied to symmetric publish/ subscribe systems efficiently.

By extending the existing data model and algorithm, we propose an event matching method for symmetric publish/subscribe system based on dimension transform regarding the query in multidimensional space. An efficient underlying multidimensional index structure is chosen and verified. Our proposal is evaluated in a simulated environment. The results show that, our proposal outperforms the other possible solutions in one or two orders of magnitude. For a typical workload containing one million subscriptions with 16 attributes, an event can be filtered within several milliseconds and the subscription base can be updated within hundreds of microseconds. We can say that our proposal is efficient and practical for symmetric publish/subscribe systems.

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Author information

Authors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Komaba 4–6–1, Meguro Ku, Tokyo, 135–8505, Japan

    Botao Wang & Masaru Kitsuregawa

Authors
  1. Botao Wang
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  2. Masaru Kitsuregawa
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Editor information

Editors and Affiliations

  1. Copenhagen Business School, Centre for Applied ICT, 60 Howitzvej, 2000, Frederiksberg, DK

    Kim Viborg Andersen

  2. University Of Technology Sydney, NSW 2007, Australia

    John Debenham

  3. University of Linz, Altenbergerstraße 69, 4040, Linz, Austria

    Roland Wagner

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© 2005 Springer-Verlag Berlin Heidelberg

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Wang, B., Kitsuregawa, M. (2005). Dimension Transform Based Efficient Event Filtering for Symmetric Publish/Subscribe System. In: Andersen, K.V., Debenham, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2005. Lecture Notes in Computer Science, vol 3588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11546924_77

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  • DOI: https://doi.org/10.1007/11546924_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28566-3

  • Online ISBN: 978-3-540-31729-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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