Name
Abstract | ||
|---|---|---|
Delivering video content with a high and fairly shared quality of experience is a challenging task in view of the drastic video traffic increase forecasts. Currently, content delivery networks provide numerous servers hosting replicas of the video content, and consuming clients are re-directed to the closest server. Then, the video content is streamed using adaptive streaming solutions. However, some servers become overloaded, and clients may experience a poor or unfairly distributed quality of experience.
In this paper we propose Muslin, a streaming solution supporting a high, fairly shared end-users quality of experience for live streaming. Muslin leverages on MS-Stream, a content delivery solution in which a client can simultaneously use several servers. Muslin dynamically provisions servers and replicates content into servers, and advertises servers to clients based on real-time delivery conditions. We have used Muslin to replay a one-day video-games event, with hundreds of clients and several test beds. Our results shows that our approach outperforms traditional content delivery schemes by increasing the fairness and quality of experience at the user side without requiring a greater underlying content delivery platform.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3210424.3210432 | MMSys '18: 9th ACM Multimedia Systems Conference
Amsterdam
Netherlands
June, 2018 |
Keywords | DocType | ISBN |
live streaming, multi-source adaptive streaming, fairness, QoE | Conference | 978-1-4503-5773-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simon Da Silva | 1 | 0 | 1.69 |
| Joachim Bruneau-Queyreix | 2 | 23 | 5.08 |
| Mathias Lacaud | 3 | 10 | 3.93 |
| Daniel Négru | 4 | 18 | 3.17 |
| Laurent Réveillère | 5 | 251 | 26.35 |