Abstract
Large-scale events pose severe challenges to live video streaming
service providers, who need to cope with high, peaking viewer numbers
and the resulting fluctuating resource demands, keeping high
levels of Quality of Experience (QoE) to avoid end-user frustration
and churn. In this paper, we analyze a unique dataset consisting of
more than a million 2018 FIFA World Cup mobile live streaming
sessions, collected at a large national public broadcaster. Different
from previous work, we analyze QoE and user engagement as well
as their interaction, in dependency to specific soccer match events,
which have the potential to trigger flash crowds during a match.
Flash crowds are a particular challenge to video service providers,
since they cause sudden load peaks and consequently, the likelihood
of quality problems. We further exploit the data to model viewer
engagement over the course of a soccer match, and show that client
counts follow very similar patterns of change across all matches.
We believe that the analysis as well as the resulting models are valuable sources of insight for service providers, equipping them with
tools for customer-centric resource and capacity management.
Originalsprache | Englisch |
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Titel | MM '20: Proceedings of the 28th ACM International Conference on Multimedia |
Seiten | 807-815 |
Seitenumfang | 9 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2020 |
Veranstaltung | 28th ACM International Conference on Multimedia - Dauer: 12 Okt. 2020 → 16 Okt. 2020 |
Konferenz
Konferenz | 28th ACM International Conference on Multimedia |
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Zeitraum | 12/10/20 → 16/10/20 |
Research Field
- Ehemaliges Research Field - Experience Measurement
- Ehemaliges Research Field - Data Science
Schlagwörter
- Quality of Experience (QoE); User Engagement; Live Video Streaming; Network Performance