Name
Title | ||
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Muslin: A QoE‐aware CDN resources provisioning and advertising system for cost‐efficient multisource live streaming |
Abstract | ||
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AbstractSummaryDelivering video content with a high and fairly shared quality of experience is a challenging task in view of the drastic video traffic increase forecasts, as live video traffic will grow 15‐fold by 2022. Currently, content delivery networks provide numerous servers hosting replicas of the video content, and consuming clients are redirected to the closest server. Then, the video content is streamed using adaptive streaming solutions. However, servers and network links often become overloaded during major events, and users may experience a poor or unfairly distributed quality of experience, unless more servers are provisioned. In this paper, we propose Muslin, a streaming solution supporting a high, fairly shared end users' quality of experience for live streaming, while minimizing the required content delivery platform scale. Muslin leverages on MS‐Stream, a content delivery solution, which aggregates video content from multiple servers to offer a high quality of experience for its users. 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 1‐day video‐games event, with hundreds of clients and several test beds. Our results show that our approach outperforms traditional content delivery schemes by increasing the fairness and quality of experience at the user side with a smaller infrastructure scale.High quality streaming is a challenging task in view of the drastic live video traffic increase forecasts (15‐fold growth by 2022). Currently, servers already often become overloaded during major events, and users experience a poor or unfairly distributed quality of experience.We propose Muslin, a streaming solution supporting a high, fairly shared quality of experience for live streaming, while minimizing the required content delivery platform scale. Muslin dynamically provisions and advertises servers based on real‐time delivery conditions. View Figure |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1002/nem.2081 | Periodicals |
DocType | Volume | Issue |
Journal | 30 | 3 |
ISSN | Citations | PageRank |
1099-1190 | 0 | 0.34 |
References | Authors | |
0 | 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 Negru | 4 | 86 | 19.91 |
| Laurent Réveillère | 5 | 251 | 26.35 |