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Filter Similarities in Content-Based Publish/Subscribe Systems

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Trends in Network and Pervasive Computing — ARCS 2002 (ARCS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2299))

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Abstract

Matching notifications to subscriptions and routing notifications from producers to interested consumers are the main problems in large-scale publish/subscribe systems.

Most previously proposed distributed notification services either use flooding or, if filtering is performed, they assume that each event broker has global knowledge about all active subscriptions. Both approaches degrade the scalability of notification services as the former wastes network resources and the latter generates overly large routing tables.

In this paper we describe content-based routing algorithms that exploit filter similarities in order to reduce the size of routing tables and the number of control messages that are exchanged among the brokers in order to keep the routing tables up-to-date. In particular, the proposed algorithms do not assume global knowledge about all active subscriptions. Furthermore, we describe how these optimizations can be supported if the underlying data and filter model is based on structured records.

Supported by the German National Science Foundation (DFG) as part of the PhD program “Enabling Technologies for Electronic Commerce” at Darmstadt University of Technology.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Darmstadt University of Technology, D-64283, Darmstadt

    Gero Mühl, Ludger Fiege & Alejandro Buchmann

Authors
  1. Gero Mühl
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  2. Ludger Fiege
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  3. Alejandro Buchmann
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Editor information

Editors and Affiliations

  1. Inst.of Applied Informatics and Formal Description Methods - AIFB, University of Karlsruhe (TH), 76128, Karlsruhe, Germany

    Hartmut Schmeck

  2. Institute of Informatics, University of Augsburg, 86159, Augsburg, Germany

    Theo Ungerer

  3. Inst.of Telematics, Faculty of Informatics and Computing Center, University of Karlsruhe (TH), Zirkel 2, 76128, Karlsruhe, Germany

    Lars Wolf

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© 2002 Springer-Verlag Berlin Heidelberg

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Mühl, G., Fiege, L., Buchmann, A. (2002). Filter Similarities in Content-Based Publish/Subscribe Systems. In: Schmeck, H., Ungerer, T., Wolf, L. (eds) Trends in Network and Pervasive Computing — ARCS 2002. ARCS 2002. Lecture Notes in Computer Science, vol 2299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45997-9_17

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  • DOI: https://doi.org/10.1007/3-540-45997-9_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43409-2

  • Online ISBN: 978-3-540-45997-2

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