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