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

Autori
Bartolec, Ivan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 12th ACM Multimedia Systems Conference / - New York (NY) : Association for Computing Machinery (ACM), 2021, 413-417

ISBN
978-1-4503-8434-6

Skup
12th ACM Multimedia Systems Conference (MMSys 2021)

Mjesto i datum
Istanbul, Turska, 28.09.2021. - 01.10.2021

Vrsta sudjelovanja
Ostalo

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Quality of Experience, Encrypted Video, Machine Learning, User Behavior, User Interactions

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA