Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Stephanie Moteau"'
Autor:
Iman Akbari, Mohammad A. Salahuddin, Leni Ven, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stephane Tuffin
Publikováno v:
Communications of the ACM. 65:75-83
Traffic classification is essential in network management for a wide range of operations. Recently, it has become increasingly challenging with the widespread adoption of encryption in the Internet, for example, as a de facto in HTTP/2 and QUIC proto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f6ad2993946a611dd7633f2dd861cc3
https://doi.org/10.1145/3559439
https://doi.org/10.1145/3559439
Autor:
Iman Akbari, Raouf Boutaba, Mohammad A. Salahuddin, Noura Limam, Stephane Tuffin, Bertrand Mathieu, Leni Ven, Stephanie Moteau
Publikováno v:
SIGMETRICS (Abstracts)
Traffic classification is essential in network management for operations ranging from capacity planning, performance monitoring, volumetry, and resource provisioning, to anomaly detection and security. Recently, it has become increasingly challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0284b088957719214c1cc2a4ede8a19a
https://doi.org/10.1145/3447382
https://doi.org/10.1145/3447382
Autor:
Navid Malekghaini, Elham Akbari, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stephane Tuffin
Publikováno v:
2022 IFIP Networking Conference (IFIP Networking).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec72ba3b9b06f73fe823a1c091ea1760
https://doi.org/10.23919/ifipnetworking55013.2022.9829791
https://doi.org/10.23919/ifipnetworking55013.2022.9829791
Autor:
Navid Malekghaini, Elham Akbari, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stephane Tuffin
Publikováno v:
Computer Networks. 225:109648
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4fbee4682bd5949be2715239db93da1
https://doi.org/10.1016/j.comnet.2023.109648
https://doi.org/10.1016/j.comnet.2023.109648
Publikováno v:
LATINCOM
We describe a “crowd measurement” project, referred to as PoQeMoN, whose main objective is to identify Quality of Service (QoS) indicators in order to predict the Quality of Experience (QoE) for HTTP YouTube content on mobile networks. Results ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7afbc149457579c7dc8f4b1e87c90b
https://doi.org/10.1109/latincom.2017.8240146
https://doi.org/10.1109/latincom.2017.8240146
Publikováno v:
International Teletraffic Congress
In this paper, we report YouTube traffic measurements from Orange IP backbone network connecting residential customers. We exhibit its salient features in relation to the performance of caching. By examining the file popularity distribution, we show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77b43613bf596ff9f7ef04af9e850d25
https://doi.org/10.1109/itc.2013.6662934
https://doi.org/10.1109/itc.2013.6662934
Publikováno v:
ICC
We report in this paper traffic measurements of YouTube traffic from Orange networks. We specifically analyze two weeks of measurements in early April 2012. We show that the popularity curves of YouTube files are constant in time and can be well appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52087ff888af21e38a15ff23372c0d2
https://doi.org/10.1109/icc.2013.6654887
https://doi.org/10.1109/icc.2013.6654887