Decentralized asynchronous optimization for dynamic adaptive multimedia streaming over information centric networking
By the envision of combing smooth viewing experience with high-efficiency content distribution, dynamic adaptive streaming (DAS) over information-centric networking (ICN) is becoming a promising trend for the future video services. However, optimizations of DAS flow transmission control and rate ada...
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| Vydáno v: | Journal of network and computer applications Ročník 157; s. 102574 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.05.2020
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| Témata: | |
| ISSN: | 1084-8045, 1095-8592 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | By the envision of combing smooth viewing experience with high-efficiency content distribution, dynamic adaptive streaming (DAS) over information-centric networking (ICN) is becoming a promising trend for the future video services. However, optimizations of DAS flow transmission control and rate adaptation need to be revisited for better adopting the ICN with multicast, multi-rate forwarding and decentralized framework. In this paper, we propose a decentralized asynchronous method for ICN-DAS. We first formulate the problem as a two-stage optimization, wherein the first stage's objective is to optimize the transmission rate within network capacity constraints, and the second is adapting the video bitrate for the long-term viewing utility. A distributed asynchronous optimization algorithm (DAOA) is then proposed for solving the two-stage problem iteratively by a novel distributed switching mirror descent and virtual queue-based iterations. Analytic results including convergence, computation complexity and time-varying adaptation are provided to validate theoretically the DAOA's performance. Simulation-based testing has also been conducted for evaluating DAOA's performance and assess its viewing experience, in comparison with state-of-the-art solutions.
•Providing high performance adaptive streaming in ICN requires both optimizing the transmission control and rate adaptation.•DAOA is proposed to enable each client to determine its transmission rate and video bitrate individually.•Our proposed DAOA converges to the theoretical optimal transmission control and rate adaption.•DAOA also improves throughput and reduces the playback stalling time when comparing with state-of-art solution. |
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| ISSN: | 1084-8045 1095-8592 |
| DOI: | 10.1016/j.jnca.2020.102574 |