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Optimal selection of adaptive streaming representations
- ACM Trans. Multimedia Comput. Commun. Appl
, 2015
"... Adaptive streaming addresses the increasing and heterogeneous demand of multimedia content over the Internet by offering several encoded versions for each video sequence. Each version (or representation) is characterized by a resolution and a bit rate, and it is aimed at a specific set of users, lik ..."
Abstract
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Adaptive streaming addresses the increasing and heterogeneous demand of multimedia content over the Internet by offering several encoded versions for each video sequence. Each version (or representation) is characterized by a resolution and a bit rate, and it is aimed at a specific set of users, like TV or mobile phone clients. While most existing works on adaptive streaming deal with effective playout-buffer control strategies on the client side, in this article we take a providers ’ perspective and propose solutions to improve user satisfaction by optimizing the set of available representations. We formulate an integer linear program that maximizes users ’ average satisfaction, taking into account network dynamics, type of video content, and user population characteristics. The solution of the optimization is a set of encoding parameters corresponding to the representations set that maximizes user satisfaction. We evaluate this solution by simulating multiple adaptive streaming sessions characterized by realistic network statistics, showing that the proposed solution outperforms commonly used vendor recommendations, in terms of user satisfaction but also in terms of fairness and outage probability. The simulation results show that video content information as well as network constraints and users ’ statistics play a crucial role in selecting proper encoding parameters to provide fairness among users and to reduce network resource usage. We finally propose a few theoretical guidelines that can be used, in realistic settings, to choose the encoding parameters based on the user
On Fairness and Application Performance of Active Queue Management in Broadband Cable Networks
"... Abstract We evaluate the performance of modern delay-based active queue management (AQM) algorithms in downstream DOCSIS 3.0 cable environments. Our simulation-based study involves scenarios that include tiered service levels and application workloads that include FTP, HTTP-based adaptive streaming ..."
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Abstract We evaluate the performance of modern delay-based active queue management (AQM) algorithms in downstream DOCSIS 3.0 cable environments. Our simulation-based study involves scenarios that include tiered service levels and application workloads that include FTP, HTTP-based adaptive streaming (HAS), VoIP, and web traffic. Our results show that AQM maintains target queuing delays and consequently provide strong isolation between responsive high bandwidth and low bandwidth latency sensitive flows. We also show that lowering target queuing delays exacerbates TCP's RTT unfairness. Nevertheless, in the scenarios that we studied, observed application performance was not significantly impacted by the specific AQM in use. With the potential large deployment of AQM imminent for DOCSIS 3.0, the analysis presented in this paper provides timely feedback to the community concerning how delay-based AQM can manage bandwidth allocation fairness and application performance in realistic downstream DOCSIS 3.0 cable network systems.
