| Document Date: 2014-02-14 05:48:44
Open Document File Size: 269,19 KBShare Result on Facebook
City San Francisco / Santa Barbara / Wiley / / Company Skype / Ge / UMTS Networks / He Yan AT&T Labs / AT&T / / Country United States / / Currency USD / / / IndustryTerm cellular networks / wireless users / anomaly detection applications / automated call server / telephony / web browsing / optimization protocol / machine-learning algorithm / offline machine learning algorithm / smartphone app services / video server / wireless networks / telephone networks / app protocols / Web sessions / Internet application performance / real-time video calling / Internet video Quality-of-Experience metric / large cellular network / generation networks / network applications / Internet Flow Records F / Movie Over The Top / / OperatingSystem Android / / Organization Harvard / IMC / International Telecommunication Union / / Person Jeffrey Pang / Shobha Venkataraman / A. Balachandran / V / Naive / Halepovic / / Position video player / mean model / player / model / designer / Server Good quality Radio Network Controller / Emir / USI model / / Product VideoView API / Prometheus / / ProvinceOrState New Jersey / New York / California / / PublishedMedium IEEE Communications Magazine / Journal of Statistical Software / / RadioStation Core / Radio Network Controller / / Region northern New Jersey / / Technology Tail optimization protocol / offline machine learning algorithm / machine-learning algorithm / API / smartphone / SIP protocol / app protocols / machine learning / Android / application-layer protocols / UDP / Quality of Service / DSL / circuit-switched / mobile devices / HTTP / VOIP / 3G / network protocols / GUI / /
SocialTag |
Prometheus: Toward Quality-of-Experience Estimation for Mobile Apps from Passive Network Measurements Vaneet Aggarwal, Emir Halepovic, Jeffrey Pang, Shobha Venkataraman, He Yan AT&T Labs - Research 1 AT&T Way, Bedminster