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Dynamic Source Selection to Handle Changes of User’s Interest in Continuous Query

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2008 Workshops (OTM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5333))

  • 1716 Accesses

Abstract

The volume of stream data delivered from information sources has been increasing. A demand for efficient processing of stream data has become more and more important. Stream processing systems [1] can continuously process stream data according to user’s requests. A request is usually specified as a continuous query written in SQL-like language.

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References

  1. Abadi, D., et al.: Aurora: a new model and architecture for data stream management. VLDB Journal 12(2), 120–139 (2003)

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  2. http://www.streamspinner.org/

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Author information

Authors and Affiliations

  1. Graduate School of Systems and Information Engineering, University of Tsukuba, Japan

    Kosuke Ohki & Hiroyuki Kitagawa

  2. Global Scientific Information and Computing Center, Tokyo Institute of Technology, Japan

    Yousuke Watanabe

  3. Center for Computational Sciences, University of Tsukuba, Japan

    Hiroyuki Kitagawa

Authors
  1. Kosuke Ohki
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  2. Yousuke Watanabe
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  3. Hiroyuki Kitagawa
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Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB),, Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660, Madrid, Spain

    Pilar Herrero

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© 2008 Springer-Verlag Berlin Heidelberg

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Ohki, K., Watanabe, Y., Kitagawa, H. (2008). Dynamic Source Selection to Handle Changes of User’s Interest in Continuous Query. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_3

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  • DOI: https://doi.org/10.1007/978-3-540-88875-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88874-1

  • Online ISBN: 978-3-540-88875-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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