An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP
Georgia Institute of Technology · Cisco Systems (Canada)
Abstract
Adaptive (video) streaming over HTTP is gradually being adopted, as it offers significant advantages in terms of both user-perceived quality and resource utilization for content and network service providers. In this paper, we focus on the rate-adaptation mechanisms of adaptive streaming and experimentally evaluate two major commercial players (Smooth Streaming, Netflix) and one open source player (OSMF). Our experiments cover three important operating conditions. First, how does an adaptive video player react to either persistent or short-term changes in the underlying network available bandwidth. Can the player quickly converge to the maximum sustainable bitrate? Second, what happens when two adaptive video…
Citation impact
- FWCI
- 56.92
- Percentile
- 100%
- References
- 13
Authors
3Topics & keywords
- Bottleneck
- Computer science
- Video streaming
- Bandwidth (computing)
- Adaptation (eye)
- Computer network
- Live streaming
- Quality of service