Measuring the Quality of Experience of Web users

Abstract :

Measuring quality of Web users experience (WebQoE) faces the following trade-off. On the one hand, current practice is to resort to metrics, such as the document completion time (onLoad), that are simple to measure though knowingly inaccurate. On the other hand, there are metrics, like Google’s SpeedIndex, that are better correlated with the actual user experience, but are quite complex to evaluate and, as such, relegated to lab experiments. In this paper, we first provide a comprehensive state of the art on the metrics and tools available for WebQoE assessment. We then apply these metrics to a representative dataset (the Alexa top-100 webpages) to better illustrate their similarities, differences, advantages and limitations. We next introduce novel metrics, inspired by Google’s SpeedIndex, that (i) offer significant advantage in terms of computational complexity, (ii) while maintaining a high correlation with the SpeedIndex at the same time. These properties makes our proposed metrics highly relevant and of practical use.

Type de document :
Communication dans un congrès
2016 Workshop on QoE-based Analysis and Management of Data Communication Networks (SIGCOMM Workshops 2016), Aug 2016, Florianopolis, Brazil. 2016 Workshop on QoE-based Analysis and Management of Data Communication Networks (SIGCOMM Workshops 2016), pp.37-42 2016, 〈10.1145/2940136.2940138〉
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https://hal-imt.archives-ouvertes.fr/hal-01346360
Contributeur : Admin Télécom Paristech <>
Soumis le : lundi 18 juillet 2016 - 17:28:25
Dernière modification le : mercredi 21 mars 2018 - 18:57:46

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Citation

Enrico Bocchi, Luca De Cicco, D. Rossi. Measuring the Quality of Experience of Web users. 2016 Workshop on QoE-based Analysis and Management of Data Communication Networks (SIGCOMM Workshops 2016), Aug 2016, Florianopolis, Brazil. 2016 Workshop on QoE-based Analysis and Management of Data Communication Networks (SIGCOMM Workshops 2016), pp.37-42 2016, 〈10.1145/2940136.2940138〉. 〈hal-01346360〉

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