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Semantic Load Shedding for Prioritized Continuous Queries over Data Streams

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Computer and Information Sciences - ISCIS 2005 (ISCIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3733))

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Abstract

A data stream management system (DSMS) has to handle high-volume and bursty data streams with large number of continuous queries. When an input rate of any data stream exceeds the system capacity, the DSMS has to shed load by dropping some fraction of unprocessed data items. In this paper, we propose a new load shedding algorithm for continuous queries over data streams. Unlike previous algorithms assuming that all queries are equally important, we consider the priority of each query so that more important queries make more convincing outputs. As a result, the proposed algorithm can support differentiated quality of services by exploiting semantics inherent to applications. We also report the experiment results confirming the benefits of the proposed algorithm.

This research was supported by University IT Research Center Project.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Yeungnam University, Gyungsan, Gyungbuk, 712-749, Republic of Korea

    Jaeseok Park & Haengrae Cho

Authors
  1. Jaeseok Park
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  2. Haengrae Cho
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    pInar Yolum  & Can Özturan  & 

  2. Computer Engineering Department, Boğaziçi University, 34342, Bebek, İstanbul, Turkey

    Tunga Güngör

  3. Computer Engineering Department, Bogazici University, 80815, Bebek, Istanbul, Turkey

    Fikret Gürgen

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© 2005 Springer-Verlag Berlin Heidelberg

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Park, J., Cho, H. (2005). Semantic Load Shedding for Prioritized Continuous Queries over Data Streams. In: Yolum, p., Güngör, T., Gürgen, F., Özturan, C. (eds) Computer and Information Sciences - ISCIS 2005. ISCIS 2005. Lecture Notes in Computer Science, vol 3733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569596_83

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  • DOI: https://doi.org/10.1007/11569596_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29414-6

  • Online ISBN: 978-3-540-32085-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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