{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:43:51Z","timestamp":1789605831093,"version":"build-2803163510"},"reference-count":6,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2013,8,27]],"date-time":"2013-08-27T00:00:00Z","timestamp":1377561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGMETRICS Perform. Eval. Rev."],"published-print":{"date-parts":[[2013,8,27]]},"abstract":"<jats:p>YouTube is changing the way operators manage network performance monitoring. In this paper we introduce YOUQMON, a novel on-line monitoring system for assessing the Quality of Experience (QoE) undergone by HSPA\/3G customers watching YouTube videos, using network-layer measurements only. YOUQMON combines passive traffic analysis techniques to detect stalling events in YouTube video streams, with a QoE model to map stallings into a Mean Opinion Score reflecting the end-user experience. We evaluate the stalling detection performance of YOUQMON with hundreds of YouTube video streams, and present results showing the feasibility of performing real-time YouTube QoE monitoring in an operational mobile broadband network.<\/jats:p>","DOI":"10.1145\/2518025.2518033","type":"journal-article","created":{"date-parts":[[2013,9,3]],"date-time":"2013-09-03T11:57:11Z","timestamp":1378209431000},"page":"44-46","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":82,"title":["YOUQMON"],"prefix":"10.1145","volume":"41","author":[{"given":"Pedro","family":"Casas","sequence":"first","affiliation":[{"name":"FTW Vienna"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Seufert","sequence":"additional","affiliation":[{"name":"FTW Vienna"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raimund","family":"Schatz","sequence":"additional","affiliation":[{"name":"FTW Vienna"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2013,8,27]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISM.2011.87"},{"key":"e_1_2_1_2_1","volume-title":"IEEE QoEMC","author":"Casas P.","year":"2012"},{"key":"e_1_2_1_3_1","volume-title":"QoEMCS","author":"Staehle B.","year":"2010"},{"key":"e_1_2_1_4_1","volume-title":"Proc. EuroView","author":"Eckert M.","year":"2012"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/IMIS.2012.12"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2006.275197"}],"container-title":["ACM SIGMETRICS Performance Evaluation Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2518025.2518033","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2518025.2518033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:14:12Z","timestamp":1750277652000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2518025.2518033"}},"subtitle":["a system for on-line monitoring of YouTube QoE in operational 3G networks"],"short-title":[],"issued":{"date-parts":[[2013,8,27]]},"references-count":6,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2013,8,27]]}},"alternative-id":["10.1145\/2518025.2518033"],"URL":"https:\/\/doi.org\/10.1145\/2518025.2518033","relation":{},"ISSN":["0163-5999"],"issn-type":[{"value":"0163-5999","type":"print"}],"subject":[],"published":{"date-parts":[[2013,8,27]]},"assertion":[{"value":"2013-08-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}