LEADER: A Collaborative Edge- and SDN-Assisted Framework for HTTP Adaptive Video Streaming
With the emerging demands of high-definition and low-latency video streams, HTTP Adaptive Streaming (HAS) is considered the principal video delivery technology over the Internet. Network-assisted video streaming schemes, which employ modern networking paradigms, e.g., Software-Defined Networking (SD...
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| Veröffentlicht in: | IEEE International Conference on Communications (2003) S. 745 - 750 |
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IEEE
16.05.2022
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| ISSN: | 1938-1883 |
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| Abstract | With the emerging demands of high-definition and low-latency video streams, HTTP Adaptive Streaming (HAS) is considered the principal video delivery technology over the Internet. Network-assisted video streaming schemes, which employ modern networking paradigms, e.g., Software-Defined Networking (SDN), Network Function Virtualization (NFV), and edge computing, have been introduced as promising complementary solutions in the HAS context to improve users' Quality of Experience (QoE) as well as network utilization. However, the existing network-assisted HAS schemes have not fully used edge collaboration techniques and SDN capabilities for achieving the aforementioned aims. To bridge this gap, this paper introduces a coLlaborative Edge- and SDN-Assisted framework for HTTP aDaptive vidEo stReaming (LEADER). In LEADER, the SDN controller collects various information items and runs a central optimization model that minimizes the HAS clients' serving time, subject to the network's and edge servers' resource constraints. Due to the NP-completeness and impractical overheads of the central optimization model, we propose an online distributed lightweight heuristic approach consisting of two phases that runs on the SDN controller and edge servers, respectively. We implement the proposed framework, conduct our experiments on a large-scale testbed including 250 HAS players, and compare its effectiveness with other strategies. The experimental results demonstrate that LEADER outperforms baseline schemes in terms of both users' QoE and network utilization, by at least 22% and 13%, respectively. |
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| AbstractList | With the emerging demands of high-definition and low-latency video streams, HTTP Adaptive Streaming (HAS) is considered the principal video delivery technology over the Internet. Network-assisted video streaming schemes, which employ modern networking paradigms, e.g., Software-Defined Networking (SDN), Network Function Virtualization (NFV), and edge computing, have been introduced as promising complementary solutions in the HAS context to improve users' Quality of Experience (QoE) as well as network utilization. However, the existing network-assisted HAS schemes have not fully used edge collaboration techniques and SDN capabilities for achieving the aforementioned aims. To bridge this gap, this paper introduces a coLlaborative Edge- and SDN-Assisted framework for HTTP aDaptive vidEo stReaming (LEADER). In LEADER, the SDN controller collects various information items and runs a central optimization model that minimizes the HAS clients' serving time, subject to the network's and edge servers' resource constraints. Due to the NP-completeness and impractical overheads of the central optimization model, we propose an online distributed lightweight heuristic approach consisting of two phases that runs on the SDN controller and edge servers, respectively. We implement the proposed framework, conduct our experiments on a large-scale testbed including 250 HAS players, and compare its effectiveness with other strategies. The experimental results demonstrate that LEADER outperforms baseline schemes in terms of both users' QoE and network utilization, by at least 22% and 13%, respectively. |
| Author | Timmerer, Christian Tashtarian, Farzad Farahani, Reza Ghanbar, Mohammad Hellwagner, Hermann |
| Author_xml | – sequence: 1 givenname: Reza surname: Farahani fullname: Farahani, Reza organization: Alpen-Adria-Universität Klagenfurt,Christian Doppler Laboratory ATHENA, Institute of Information Technology,Austria – sequence: 2 givenname: Farzad surname: Tashtarian fullname: Tashtarian, Farzad organization: Alpen-Adria-Universität Klagenfurt,Christian Doppler Laboratory ATHENA, Institute of Information Technology,Austria – sequence: 3 givenname: Christian surname: Timmerer fullname: Timmerer, Christian organization: Alpen-Adria-Universität Klagenfurt,Christian Doppler Laboratory ATHENA, Institute of Information Technology,Austria – sequence: 4 givenname: Mohammad surname: Ghanbar fullname: Ghanbar, Mohammad organization: Alpen-Adria-Universität Klagenfurt,Christian Doppler Laboratory ATHENA, Institute of Information Technology,Austria – sequence: 5 givenname: Hermann surname: Hellwagner fullname: Hellwagner, Hermann organization: Alpen-Adria-Universität Klagenfurt,Christian Doppler Laboratory ATHENA, Institute of Information Technology,Austria |
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| Snippet | With the emerging demands of high-definition and low-latency video streams, HTTP Adaptive Streaming (HAS) is considered the principal video delivery technology... |
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| SubjectTerms | Adaptation models Adaptive systems Collaboration Dynamic Adaptive Streaming over HTTP (DASH) Edge Collaboration Edge Computing Network function virtualization Network Function Virtualization (NFV) Network-Assisted Video Streaming Quality of experience Quality of Experience (QoE) Servers Software-Defined Networking (SDN) Streaming media Video Transcoding |
| Title | LEADER: A Collaborative Edge- and SDN-Assisted Framework for HTTP Adaptive Video Streaming |
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