Performance Estimation of Encrypted Video Streaming in Light of End-User Playback-Related Interactions

Znanstveni rad - Izvorni znanstveni rad

• Autor: Ivan Bartolec; MBZ: 376406
• Autorova ustanova: Sveučilište u Zagrebu; Fakultet elektrotehnike i računarstva
• Znanstveno / umjetničko područje, polje i grana: TEHNIČKE ZNANOSTI; Računarstvo

Sažetak (engleski)

Our research will look into realistic end-user service usage behavior patterns and their corresponding implications on the in-network Quality of Experience (QoE) monitoring for HTTP adaptive video streaming (HAS) services in wireless and mobile networks. The main goal is to establish a methodology for developing and testing machine learning (ML) based models for estimating end-user QoE-related Key Performance Indicators (KPIs) in the context of user- initiated playback interactions. The initial phase will be to investigate user behavior when utilizing video streaming services on mobile devices and propose a user interaction model. In addition, a methodology for automated data collecting, processing, and analysis will be created, which will include the creation of a framework that combines user interaction simulation based on the proposed model. Extensive experiments will be carried out to train ML models for KPI estimation, and the resultant KPI estimation models will be evaluated. This paper presents a current state-of-the-art review of the corresponding topics, as well as the current state of our research, preliminary findings, and plans for ongoing and future work.

• Ključne riječi (engleski): Quality of Experience; Encrypted Video; Machine Learning; User Behavior; User Interactions
• Jezik: engleski
• Vrsta publikacije: Znanstveni rad - Izvorni znanstveni rad
• Status objave: Objavljen
• Vrsta recenzije: Recenziran - međunarodna recenzija
• Verzija publikacije: Objavljena verzija rada (izdavačev PDF)
• Naslov zbornika: Proceedings of the 12th ACM Multimedia Systems Conference
• Brojčani podaci: str. 413-417
• DOI: https://doi.org/10.1145/3458305.3478467
• URN:NBN: urn:nbn:hr:168:603647
• Datum objave publikacije: 2021
• Skup: Naziv: 12th ACM Multimedia Systems Conference; Lokacija: Istanbul, Turska; Datum početka: 2021-09-28; Datum završetka: 2021-10-01; Vrsta izlaganja: Predavanje
• URL dokumenta: http://bib.irb.hr/1147510
• Vrsta resursa: Tekst
• Izdavač: Association for Computing Machinery, New York, NY, United States
• Prava pristupa: Zatvoreni pristup
• Datum i vrijeme pohrane: 2021-11-23 06:49:08