LEADER: A Collaborative Edge- and SDN-Assisted Framework for HTTP Adaptive Video Streaming

Farahani, Reza; Tashtarian, Farzad; Timmerer, Christian; Ghanbar, Mohammad; Hellwagner, Hermann

doi:10.1109/icc45855.2022.9838949

Cited by 11 publications

(10 citation statements)

References 16 publications

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“…The results of the proposed NAVS solutions will be compared with other state-of-the-art and baseline approaches in terms of metrics mentioned in RQ3 to show their performance. ES-HAS [55] CSDN [54] ARARAT [58] RICHTER [56][57] ALIVE [62] LEADER [59] ES-HAS [55] LEADER [59] ARARAT […”

Section: Methodsmentioning

confidence: 99%

“…LEADER [59] ES-HAS [55] CSDN [54] SARENA [61] ARARAT [58] RICHTER [56] architecture and formulate each problem as a mathematical optimization model. At the end of each section, we discuss the details of the testbed design and obtain and analyze results.…”

Section: Publicationsmentioning

confidence: 99%

“…Chapter 5 proposes two collaborative edge-assisted frameworks for HAS clients, LEADER [59] and ARARAT [58], in two sections. In each section, we first describe the system design perspective, including the problem statement, architecture, and system model.…”

Section: Publicationsmentioning

confidence: 99%

“…This section presents the details of the ES-HAS framework [55], which adopts and extends the core idea of SABR [28] to introduce an edge-and SDN-assisted solution for HAS clients.…”

Section: Es-has Frameworkmentioning

confidence: 99%

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Fully Dual Closed Stable Modules

Al-Aeashi

Diop

Farahani

2020

J. Phys.: Conf. Ser.

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Section: Methodsmentioning

confidence: 99%

Section: Publicationsmentioning

confidence: 99%

Section: Publicationsmentioning

confidence: 99%

“…This section presents the details of the ES-HAS framework [55], which adopts and extends the core idea of SABR [28] to introduce an edge-and SDN-assisted solution for HAS clients.…”

Section: Es-has Frameworkmentioning

confidence: 99%

See 2 more Smart Citations

Fully Dual Closed Stable Modules

Al-Aeashi

Diop

Farahani

2020

J. Phys.: Conf. Ser.

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show abstract

“…In Cevallos Moreno et al, 16 an approach was proposed for defining the placement of video streaming VNFs such as cache, transcoder, compressor, and streamer by considering the capacities of VNFs containers. The studies were proposed to use a virtualized proxy servers or caches, which selects which content from which virtualized server for HAS systems in Farahani et al 17,18 Although there are several studies utilizing vCaches for increasing QoE, they mainly focus on VMs capacities for VNF and/or content placement. Our study mainly differs from these works in the literature, due to its parameters used for the placement of vCaches.…”

Section: Related Workmentioning

confidence: 99%

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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QoE-Aware Dynamic Resource Management in Future Softwarized and Virtualized Networks

Barakabitze,

Mkwawa,

Hines

et al. 2023

IEEE Access

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With the advent of multimedia streaming services such as 4K/8K and extended reality, managing and optimizing multimedia service delivery to end-users remains a challenge for mobile network operators, Internet service providers, and over-the-top (OTT) providers. To solve the present concerns and challenges associated with multimedia traffic management and quality of experience (QoE) in nextgeneration networks, new network and service management approaches for multimedia services are required. Network softwarization and virtualization paradigms that leverage software defined networking (SDN) and network function virtualization (NFV) are considered as key technologies for network and service management in future softwarized networks. This paper adopts SDN control logic to implement a dynamic QoE-aware resource management approach in future softwarized and virtualized networks. We propose QoESoft, a QoE-aware network softwarization approach for multimedia streaming services that (a) performs a dynamic link and switch resources management, and (b) improves end-user' QoE in softwarized systems. We introduce two important components, the QoE-sdnFlow monitor and QoE-sdnFlow manager as an extension to the SDN controller to monitor and manage the overall utilization of resources of mapped virtual links and nodes. We present a practical implementation of the QoESoft approach using a dash.js reference player where the bitrate decision adaptation logic and video segment download process are modified by introducing two components: the BandwidthP redictor and the Reporting functions. The BandwidthP redictor component ensures that the video bitrate is selected based on the available resources on the client's side in a dynamic manner. The Reporting module provides the current streaming status of the dash.js player (e.g., stall duration, bitrate switching, startup delay, and video QoE). In addition, we present the initial evaluations of virtual network survivability and an economical analysis that maximizes the profit for OTTs/ISPs by providing better QoE to customers. The performance of the proposed approach is analyzed through extensive experiments using a Laboratory for Image and Video Engineering -Amazon Prime Video (LIVE-APV) Streaming Database running over the developed softwarized -DASH-based platform based on the Mininet and POX controller. Preliminary results indicate that QoESoft outperforms the baseline approach in terms of link resources utilization and switch resources utilization, low-live latency, startup delays, bitrate switching, stall duration and video QoE.

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LEADER: A Collaborative Edge- and SDN-Assisted Framework for HTTP Adaptive Video Streaming

Cited by 11 publications

References 16 publications

Fully Dual Closed Stable Modules

Fully Dual Closed Stable Modules

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

QoE-Aware Dynamic Resource Management in Future Softwarized and Virtualized Networks

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