Publication:
Machine Learning-based End-to-End QoE Monitoring Using Active Network Probing
| dc.contributor.author | Miranda, Gilson, Jr. | |
| dc.contributor.author | Municio, Esteban | |
| dc.contributor.author | Marquez-Barja, Johann | |
| dc.contributor.author | Macedo, Daniel Fernandes | |
| dc.contributor.imecauthor | Miranda, Gilson, Jr. | |
| dc.contributor.imecauthor | Municio, Esteban | |
| dc.contributor.imecauthor | Marquez-Barja, Johann | |
| dc.contributor.orcidext | Macedo, Daniel Fernandes::0000-0001-6668-4175 | |
| dc.contributor.orcidimec | Municio, Esteban::0000-0002-9865-2538 | |
| dc.contributor.orcidimec | Miranda, Gilson::0000-0002-4023-2629 | |
| dc.contributor.orcidimec | Marquez-Barja, Johann::0000-0001-5660-3597 | |
| dc.date.accessioned | 2022-12-19T09:46:10Z | |
| dc.date.available | 2022-07-04T02:26:27Z | |
| dc.date.available | 2022-09-08T13:02:43Z | |
| dc.date.available | 2022-12-19T09:46:10Z | |
| dc.date.issued | 2022 | |
| dc.description.wosFundingText | This work was financed in part by the Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (CAPES) - Finance Code 001, CNPq (funding agency from the Brazilian federal government), FAPEMIG (Minas Gerais State Funding Agency), and Sao Paulo Research Foundation (FAPESP) with Brazilian Internet Steering Committee (CGI.br), grants 2018/23097-3 and 2020/05182-3. The work has also been supported by the Horizon 2020 projects Fed4FIRE+ (Grant Agreement No. 723638), 5G-Blueprint (Grant Agreement No. 952189), and by the FLEXNET project: "Flexible IoT Networks for Value Creators" (Celtic 2016/3), in the Eureka Celtic-Next Cluster. | |
| dc.identifier.doi | 10.1109/ICIN53892.2022.9758123 | |
| dc.identifier.eisbn | 978-1-7281-8688-7 | |
| dc.identifier.issn | 2162-3414 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40053 | |
| dc.publisher | IEEE | |
| dc.source.beginpage | 40 | |
| dc.source.conference | 25th Conference on Innovation in Clouds, Internet and Networks (ICIN) | |
| dc.source.conferencedate | MAR 07-10, 2022 | |
| dc.source.conferencelocation | Paris, France | |
| dc.source.endpage | 47 | |
| dc.source.journal | ICIN | |
| dc.source.numberofpages | 8 | |
| dc.subject.discipline | Computer science/information technology | |
| dc.title | Machine Learning-based End-to-End QoE Monitoring Using Active Network Probing | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
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