Improving Quality of HTTP Adaptive Streaming with Server and Network-Assisted DASH

Kalan, Reza Shokri

doi:10.23919/cnsm52442.2021.9615507

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…Using the flexibility of SDN, combined with SAND features, allows for enhancing the quality of video streaming. 6 In the specification of the SAND architecture, four classes of network elements are defined in the standard 2 :…”

Section: Adaptive Video Streaming Technologies Dash and Sand Standardsmentioning

confidence: 99%

“…Therefore, we can remove it from the formula. Hence, formula (5) can be rewritten in the form as given in (6).…”

Section: Initial Virtual Cache Placement Based On Pressure Score Esti...mentioning

confidence: 99%

“…Finally, the number of links connected to the candidate nodes and which carry traffic also are taken into account, in order to increase the reliability. Considering that more connection links provide more reliability, we modified the formula in (6) and obtained the formula in (7).…”

Section: Initial Virtual Cache Placement Based On Pressure Score Esti...mentioning

confidence: 99%

“…Having a high‐level overview of network resources and traffic patterns as feedback to clients helps them achieve better QoE. Using the flexibility of SDN, combined with SAND features, allows for enhancing the quality of video streaming 6 …”

Section: Introductionmentioning

confidence: 99%

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vDANE: Using virtualization for improving video quality with Server and Network Assisted DASH

2022

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Summary Network Function Virtualization (NFV) offers flexibility in traffic engineering and network resource management, by taking advantage of Software Defined Networking (SDN). By using these network technologies, it is possible to enhance the performance of video streaming applications by placing network functions in suitable locations and rerouting flows. Our study addresses the “virtual cache placement” problem in dynamic networks, where traffic patterns and attachment points of the clients are changing rapidly. The cache placement is done by determining how many virtual caches are necessary to be able to provide acceptable service to the clients, as well as where to place those caches to meet demand. To this end, we provide a heuristic solution by taking advantage of NFV‐SDN and having the assistance of Server and Network Assisted DASH (SAND). Experimental results show that the proposed algorithms can improve the video client rebuffering by 150%–270% and also can provide an 8%–12% increase in average bitrate received by the client, compared to a number of benchmark algorithms. The obtained results indicate that the co‐operation between the client and the operator of an SDN‐enabled network, by exchanging client and network information, allows network resources to be efficiently used, and as a consequence, the Quality of Experience (QoE) on the client's side is improved.

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Section: Adaptive Video Streaming Technologies Dash and Sand Standardsmentioning

confidence: 99%

“…Therefore, we can remove it from the formula. Hence, formula (5) can be rewritten in the form as given in (6).…”

Section: Initial Virtual Cache Placement Based On Pressure Score Esti...mentioning

confidence: 99%

Section: Initial Virtual Cache Placement Based On Pressure Score Esti...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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vDANE: Using virtualization for improving video quality with Server and Network Assisted DASH

2022

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ARARAT: A Collaborative Edge-Assisted Framework for HTTP Adaptive Video Streaming

Farahani

Shojafar

Timmerer

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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Joint Video Streaming and Hybrid Beamforming in Multi-Connectivity Enabled mmWave Networks

Zhang,

Xu,

Gao

et al. 2024

IEEE Trans. Veh. Technol.

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Improving Quality of HTTP Adaptive Streaming with Server and Network-Assisted DASH

Cited by 3 publications

References 12 publications

vDANE: Using virtualization for improving video quality with Server and Network Assisted DASH

vDANE: Using virtualization for improving video quality with Server and Network Assisted DASH

ARARAT: A Collaborative Edge-Assisted Framework for HTTP Adaptive Video Streaming

Joint Video Streaming and Hybrid Beamforming in Multi-Connectivity Enabled mmWave Networks

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