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Wassermann Sarah

Main Referenced Co-authors
Casas, Pedro (9)
Donnet, Benoît  (5)
Cuvelier, Thibaut  (2)
Mellia, Marco (2)
Bustamante, Fabian (1)
Main Referenced Keywords
Machine Learning (4); DTRACK (2); M-Lab (2); RIPE Atlas Measurement Framework (2); Traceroute (2);
Main Referenced Disciplines
Computer science (11)

Publications (total 11)

The most downloaded
915 downloads
Wassermann, S. (2017). Anycast-based DNS in Mobile Networks [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/215008 https://hdl.handle.net/2268/215008

The most cited

20 citations (Scopus®)

Casas, P., Fiadino, P., Wassermann, S., Traverso, S., D'Alconzo, A., Tego, E., Matera, F., & Mellia, M. (2016). Unveiling Network and Service Performance Degradation in the Wild with mPlane. IEEE Communications Magazine. doi:10.1109/MCOM.2016.7432151 https://hdl.handle.net/2268/192775

Casas, P., & Wassermann, S. (2017). Improving QoE Prediction in Mobile Video through Machine Learning. In Proc. 8th International Conference on Network of the Future. doi:10.1109/NOF.2017.8251212
Peer reviewed

Wassermann, S., Rula, J. P., & Bustamante, F. (November 2017). Anycast on the Move - A First Look at Mobile Anycast Performance [Poster presentation]. ACM Internet Measurement Conference 2017, London, United Kingdom.

Wassermann, S., & Casas, P. (November 2017). BIGMOMAL - Big Data Analytics for Mobile Malware Detection [Poster presentation]. ACM Internet Measurement Conference 2017, London, United Kingdom.

Wassermann, S., Casas, P., Cuvelier, T., & Donnet, B. (2017). NETPerfTrace – Predicting Internet Path Dynamics and Performance with Machine Learning. In Proceedings of Big-DAMA ’17. doi:10.1145/3098593.3098599
Peer reviewed

Wassermann, S. (2017). Anycast-based DNS in Mobile Networks [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/215008

Wassermann, S., Casas, P., Cuvelier, T., & Donnet, B. (2017). Predicting Internet Path Dynamics and Performance with Machine Learning. (A3215). AIT Austria.

Wassermann, S., Casas, P., & Donnet, B. (2016). Machine Learning based Prediction of Internet Path Dynamics. In ACM CoNEXT Student Workshop: Irvine 12 décembre 2016.
Peer reviewed

Wassermann, S., & Casas, P. (2016). Reverse Traceroute with DisNETPerf, a Distributed Internet Paths Performance Analyzer.

Wassermann, S., Casas, P., Donnet, B., Leduc, G., & Mellia, M. (2016). On the Analysis of Internet Paths with DisNETPerf, a Distributed Paths Performance Analyzer. In Proc. 10th IEEE Workshop on Network Measurements (WNM). doi:10.1109/LCN.2016.031
Peer reviewed

Casas, P., Fiadino, P., Wassermann, S., Traverso, S., D'Alconzo, A., Tego, E., Matera, F., & Mellia, M. (2016). Unveiling Network and Service Performance Degradation in the Wild with mPlane. IEEE Communications Magazine. doi:10.1109/MCOM.2016.7432151
Peer Reviewed verified by ORBi

Wassermann, S., Casas, P., & Donnet, B. (2015). Towards DisNETPerf: a Distributed Internet Paths Performance Analyzer. In ACM CoNEXT Student Workshop: Heidelberg 1 décembre 2015.
Peer reviewed

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