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Reducing Data Transfer by Combining XML-Compression and XML-Caching

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Web Information Systems and Technologies (WEBIST 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 101))

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Abstract

Whenever a restricted bandwidth is the bottleneck of an application that transfers data from a server hosting a huge XML document to a client with limited resources, there exist mainly two approaches to overcome this problem: caching previously downloaded data on the one hand, and transferring compressed data on the other hand. We present a combined approach that combines both approaches, i.e., that proposes a caching framework working with compressed XML data. Our performance evaluation demonstrates that this combination not only yields a benefit in terms of the data to be transferred, but it also yields a shorter response time for queries to be evaluated on the client. The benefit reached by the combination of caching and compression is even stronger than the sum of the benefits reached by each of these techniques alone.

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Authors and Affiliations

  1. Computer Science, University of Paderborn, FĂĽrstenallee 11, 33102, Paderborn, Germany

    Stefan Böttcher, Lars Fernhomberg & Rita Hartel

Authors
  1. Stefan Böttcher
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  2. Lars Fernhomberg
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  3. Rita Hartel
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Editor information

Editors and Affiliations

  1. Department of Systems and Informatics, Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and, Instituto Politécnico de Setúbal (IPS), Rua do Vale de Chaves, Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe  & José Cordeiro  & 

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Böttcher, S., Fernhomberg, L., Hartel, R. (2012). Reducing Data Transfer by Combining XML-Compression and XML-Caching. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2011. Lecture Notes in Business Information Processing, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28082-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-28082-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28081-8

  • Online ISBN: 978-3-642-28082-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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