Skip to main content
SpringerLink
Log in

Compaz: Exploring the Potentials of Shared Dictionary Compression on the Web

  • Conference paper
  • First Online:
Web Engineering (ICWE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13362))

Included in the following conference series:

Abstract

In this demonstration, we present Compaz, an extensible benchmarking tool for web compression that enables evaluating approach-es before they have been fully implemented and deployed. Compaz makes this possible by collecting all relevant data from user journeys on live websites first and then performing the benchmark analysis as a subsequent step with global knowledge of all transmitted resources. In our demonstration scenario, the audience can witness how current websites could improve their compression ratio and save bandwidth. They can choose from standard and widespread approaches such as Brotli or gzip and advanced approaches like shared dictionary compression that are currently not even supported by any browser.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.selenium.dev/.

References

  1. Intent to Unship: SDCH (2016). https://groups.google.com/a/chromium.org/d/msg/blink-dev/nQl0ORHy7sw/HNpR96sqAgAJ. Accessed 20 Feb 2022

  2. Alakuijala, J., et al.: Brotli: a general-purpose data compressor. ACM Trans. Inf. Syst. 37(1), 1–30 (2019)

    Article  Google Scholar 

  3. Chan, M.C., Woo, T.: Cache-based compaction: a new technique for optimizing web transfer. In: Conference on Computer Communications, IEEE INFOCOM 1999 (1999)

    Google Scholar 

  4. Fischbacher, T., Kliuchnikov, E., Comsa, I.: Web Almanac: Compression. https://almanac.httparchive.org/en/2021/compression. Accessed 25 Feb 2022

  5. McQuade, B., Mixter, K., Lee, W.H., Butler, J.: A proposal for shared dictionary compression over http (2016)

    Google Scholar 

  6. Mogul, J.C., Douglis, F., Feldmann, A., Krishnamurthy, B.: Potential benefits of delta encoding and data compression for HTTP. ACM SIGCOMM Comput. Commun. Rev. 27(4), 181–194 (1997)

    Article  Google Scholar 

  7. Shapira, O.: Shared Dictionary Compression for HTTP at LinkedIn. https://engineering.linkedin.com/shared-dictionary-compression-http-linkedin

  8. Wingerath, W., et al.: Speed Kit: a polyglot gdpr-compliant approach for caching personalized content. In: 36th ICDE 2020, Dallas, Texas, 20–24 April 2020 (2020)

    Google Scholar 

  9. Wollmer, B., Wingerath, W., Ferrlein, S., Panse, F., Gessert, F., Ritter, N.: The case for cross-entity delta encoding in web compression. In: 22th ICWE (2022)

    Google Scholar 

  10. Wollmer, B., Wingerath, W., Ritter, N.: Context-aware encoding & delivery in the web. In: 20th ICWE 2020, Helsinki, Finland, 9–12 June 2020 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Hamburg, Hamburg, Germany

    Benjamin Wollmer & Norbert Ritter

  2. University of Oldenburg, Oldenburg, Germany

    Wolfram Wingerath

  3. Baqend, Hamburg, Germany

    Benjamin Wollmer, Wolfram Wingerath, Sophie Ferrlein & Felix Gessert

Authors
  1. Benjamin Wollmer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wolfram Wingerath
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sophie Ferrlein
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Felix Gessert
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Norbert Ritter
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Benjamin Wollmer .

Editor information

Editors and Affiliations

  1. Polytechnic University of Bari, Bari, Italy

    Tommaso Di Noia

  2. Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    In-Young Ko

  3. Johannes Kepler University Linz, Linz, Austria

    Markus Schedl

  4. Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wollmer, B., Wingerath, W., Ferrlein, S., Gessert, F., Ritter, N. (2022). Compaz: Exploring the Potentials of Shared Dictionary Compression on the Web. In: Di Noia, T., Ko, IY., Schedl, M., Ardito, C. (eds) Web Engineering. ICWE 2022. Lecture Notes in Computer Science, vol 13362. Springer, Cham. https://doi.org/10.1007/978-3-031-09917-5_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-09917-5_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09916-8

  • Online ISBN: 978-3-031-09917-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation