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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Bibliographic Details
Published in:IEEE International Conference on Communications (2003) pp. 745 - 750
Main Authors: Farahani, Reza, Tashtarian, Farzad, Timmerer, Christian, Ghanbar, Mohammad, Hellwagner, Hermann
Format: Conference Proceeding
Language:English
Published: IEEE 16.05.2022
Subjects:
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
ISSN:1938-1883
Online Access:Get full text
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Summary: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.
ISSN:1938-1883
DOI:10.1109/ICC45855.2022.9838949