Information!

Here you can find the authors' copy of all our publications. If you use our code or datasets, we would ask you to please cite the appropriate reference. And even if you do not use our code or dataset but still want to cite our work, we will surely not stop you from doing so :)

  1. [GLOBECOM-03] Rossi, D. and Casetti, C. and Mellia, M., User Patience and the Web: a Hands-on Investigation IEEE Globecom’03 dec. 2003, conference 
    @inproceedings{DR:GLOBECOM-03,
  author = {Rossi, D. and Casetti, C. and Mellia, M.},
  title = {User Patience and the Web: a Hands-on Investigation},
  booktitle = {IEEE Globecom'03},
  address = {San Francisco, CA, USA},
  year = {2003},
  month = dec,
  howpublished = {https://perso.telecom-paristech.fr/drossi/paper/rossi03globecom.pdf}
}
  2. [PAM-18b] da Hora, Diego Neves and Asrese, Alemnew Sheferaw and Christophides, Vassilis and Teixeira, Renata and Rossi, Dario, Narrowing the gap between QoS metrics and Web QoE using Above-the-fold metrics International Conference on Passive and Active Network Measurement (PAM), Receipient of the Best dataset award mar. 2018, conference Award
    Page load time (PLT) is still the most common application Quality of Service (QoS) metric to estimate the Quality of Experience (QoE) of Web users. Yet, recent literature abounds with proposals for alternative metrics (e.g., Above The Fold, SpeedIndex and their variants) that aim at better estimating user QoE. The main purpose of this work is thus to thoroughly investigate a mapping between established and recently proposed objective metrics and user QoE. We obtain ground truth QoE via user experiments where we collect and analyze 3,400 Web accesses annotated with QoS metrics and explicit user ratings in a scale of 1 to 5, which we make available to the community. In particular, we contrast domain expert models (such as ITU-T and IQX) fed with a single QoS metric, to models trained using our ground-truth dataset over multiple QoS metrics as features. Results of our experiments show that, albeit very simple, expert models have a comparable accuracy to machine learning approaches. Furthermore, the model accuracy improves considerably when building per-page QoE models, which may raise scalability concerns as we discuss. 
    @inproceedings{DR:PAM-18b,
  title = {Narrowing the gap between QoS metrics and Web QoE using Above-the-fold metrics},
  author = {da Hora, Diego Neves and Asrese, Alemnew Sheferaw and Christophides, Vassilis and Teixeira, Renata and Rossi, Dario},
  booktitle = {International Conference on Passive and Active Network Measurement (PAM), Receipient of the Best dataset award},
  address = {Berlin, Germany},
  month = mar,
  year = {2018},
  note = {bestpaperaward},
  howpublished = {https://perso.telecom-paristech.fr/drossi/paper/rossi18pam-b.pdf}
}
  3. [PAM-17] Bocchi, Enrico and De Cicco, Luca and Mellia, Marco and Rossi, Dario, The Web, the Users, and the MOS: Influence of HTTP/2 on User Experien ce Passive and Active Measurements apr. 2017, conference
    This work focuses on the evaluation of Web quality of experience as perceived by actual users and in particular on the impact of HTTP/1 vs HTTP/ 2. We adopt an experimental methodology that uses real web pages served through a realistic testbed where we control network, protocol, and application configur ation. Users are asked to browse such pages and provide their subjective feedbac k, which we leverage to obtain the Mean Opinion Score (MOS), while the testbed r ecords objective metrics. The collected dataset comprises over 4,000 grades that we explore to tackle the question whether HTTP/2 improves users experience, to what extent, and in which conditions. Findings show that users report marginal d ifferences, with 22%, 52%, 26% of HTTP/2 MOS being better, identical, or wors e than HTTP/1, respectively. Even in scenarios that favor HTTP/2, results are no t as sharp as expected. This is in contrast with objective metrics, which instea d record a positive impact with HTTP/2 usage. This shows the complexity of under standing the web experience and the need to involve actual users in the quality assessment process. 
    @inproceedings{DR:PAM-17,
  title = {The Web, the Users, and the MOS: Influence of HTTP/2 on User Experien
  ce},
  author = {Bocchi, Enrico and De Cicco, Luca and Mellia, Marco and Rossi, Dario},
  year = {2017},
  month = apr,
  booktitle = {Passive and Active Measurements},
  halid = {hal-01613491},
  pages = {}
}
  4. [DIRECTORSCUT-16] Bocchi, Enrico and De Cicco, Luca and Mellia, Marco and Rossi, Dario, HTTP/2 vs the Users: The Good, The Bad and The Ugly (Director’s Cut) Technical Report apr. 2016, conference 
    @inproceedings{DR:DIRECTORSCUT-16,
  title = {HTTP/2 vs the Users: The Good, The Bad and The Ugly (Director's Cut)},
  author = {Bocchi, Enrico and De Cicco, Luca and Mellia, Marco and Rossi, Dario},
  year = {2016},
  month = apr,
  booktitle = {Technical Report},
  pages = {}
}
  5. [INFOCOM-IC-16] Bocchi, Enrico and De Cicco, Luca and Rossi, Dario, Web QoE: Moving beyond Google’s SpeedIndex Finalist at the IEEE INFOCOM Innovation Challenge, apr. 2016, conference 
    @inproceedings{DR:INFOCOM-IC-16,
  title = {Web QoE: Moving beyond Google's SpeedIndex},
  author = {Bocchi, Enrico and De Cicco, Luca and Rossi, Dario},
  year = {2016},
  month = apr,
  booktitle = {Finalist at the IEEE INFOCOM Innovation Challenge,},
  pages = {}
}
  6. [SIGCOMM-QoE-16] Bocchi, Enrico and De Cicco, Luca and Rossi, Dario, Measuring the Quality of Experience of Web users ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE 2016), selected as best paper in the workshop for reprint in ACM SIGCOMM Comput. Commun. Rev. aug. 2016, conference Award 
    @inproceedings{DR:SIGCOMM-QoE-16,
  title = {Measuring the Quality of Experience of Web users},
  author = {Bocchi, Enrico and De Cicco, Luca and Rossi, Dario},
  year = {2016},
  month = aug,
  booktitle = {ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE 2016), selected as best paper in the workshop for reprint in ACM SIGCOMM Comput. Commun. Rev.},
  note = {bestpaperaward},
  howpublished = {https://perso.telecom-paristech.fr/drossi/paper/rossi16internet-qoe.pdf}
}