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

Farahani, Reza; Shojafar, Mohammad; Timmerer, Christian; Tashtarian, Farzad; Ghanbari, M.; Hellwagner, Hermann

doi:10.1109/tnsm.2022.3210595

Cited by 10 publications

(5 citation statements)

References 40 publications

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“…Farahani et al recently introduced ALIVE [18], a network-assisted video streaming framework tailored for HAS. ALIVE harnesses contemporary networking paradigms such as edge computing and NFV coupled with video solutions like HAS, Video Super-Resolution (SR), and Distributed Video Transcoding (TR) to effectively reduce latency and costs in live streaming scenarios.…”

Section: P2p-assisted Http Video Streamingmentioning

confidence: 99%

Enhancing Crowd-Sourced Video Sharing through P2P-Assisted HTTP Video Streaming

Geng,

Fujita

2024

Electronics

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This paper introduces a decentralized architecture designed for the sharing and distribution of user-generated video streams. The proposed system employs HTTP Live Streaming (HLS) as the delivery method for these video streams. In the architecture, a creator who captures a video stream using a smartphone camera subsequently transcodes it into a sequence of video chunks called HLS segments. These chunks are then stored in a distributed manner across the worker network, forming the core of the proposed architecture. Despite the presence of a coordinator for bootstrapping within the worker network, the selection of worker nodes for storing generated video chunks and autonomous load balancing among worker nodes are conducted in a decentralized fashion, eliminating the need for central servers. The worker network is implemented using the Golang-based IPFS (InterPlanetary File System) client, called kubo, leveraging essential IPFS functionalities such as node identification through Kademlia-DHT and message exchange using Bitswap. Beyond merely delivering stored video streams, the worker network can also amalgamate multiple streams to create a new composite stream. This bundling of multiple video streams into a unified video stream is executed on the worker nodes, making effective use of the FFmpeg library. To enhance download efficiency, parallel downloading with multiple threads is employed for retrieving the video stream from the worker network to the requester, thereby reducing download time. The result of the experiments conducted on the prototype system indicates that those concerned with the transmission time of the requested video streams compared with a server-based system using AWS exhibit a significant advantage, particularly evident in the case of low-resolution video streams, and this advantage becomes more pronounced as the stream length increases. Furthermore, it demonstrates a clear advantage in scenarios characterized by a substantial volume of viewing requests.

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Section: P2p-assisted Http Video Streamingmentioning

confidence: 99%

Enhancing Crowd-Sourced Video Sharing through P2P-Assisted HTTP Video Streaming

Geng,

Fujita

2024

Electronics

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“…Dynamic QoE resource management and resource allocation for future multimedia streaming services in softwarized networks have been explored in recent years [25,26], [5], [27], [28], [29], [30], [31], [32,33]. Barakabitze et al [7] introduced a QoE-softwarized and virtualized architecture that leverage SDN and NFV for managing future multimedia streaming services in 5G networks.…”

Section: Related Workmentioning

confidence: 99%

“…Farahani et al [26] proposed ARARAT, a multi-layer architecture that leverages SDN, NFV, and edge computing paradigms to minimize HAS clients' serving time and network cost while considering available resources and all possible serving actions. A total of 250 HAS players made up the large-scale cloud testbed used by the authors for their research.…”

Section: Related Workmentioning

confidence: 99%

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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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“…DASH has gained widespread industry support, contributing to its adoption as a de facto standard for adaptive streaming. HTTP Live Streaming (HLS) [3] is another prominent adaptive streaming protocol widely used in the delivery of multimedia content, particularly in Apple ecosystems. HLS breaks down video content into small chunks, each encoded at various quality levels, and serves these chunks via standard HTTP protocols.…”

Section: Introductionmentioning

confidence: 99%

The Protocol Play: DASHing Ahead or HLSing Back?

2023

IJFMR

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This paper presents a comprehensive comparative analysis of two widely adopted adaptive streaming protocols, Dynamic Adaptive Streaming over HTTP (DASH) and HTTP Live Streaming (HLS), within the contemporary landscape of video delivery. Delving into the background of both protocols, the study explores their architectures, media format support, and adaptability to diverse network conditions. A meticulous examination of strengths and weaknesses encompasses performance, scalability, user experience, device compatibility, and implementation ease. The implications for content delivery, including considerations of quality of experience, Content Delivery Network (CDN) compatibility, and cost factors, are thoroughly discussed. The paper also sheds light on current trends, emerging technologies, and the evolving nature of DASH and HLS. In conclusion, the study provides a synthesis of key insights, offering practical recommendations for protocol selection based on specific use cases and contributing valuable perspectives to the dynamic realm of adaptive video streaming.

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

Cited by 10 publications

References 40 publications

Enhancing Crowd-Sourced Video Sharing through P2P-Assisted HTTP Video Streaming

Enhancing Crowd-Sourced Video Sharing through P2P-Assisted HTTP Video Streaming

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

The Protocol Play: DASHing Ahead or HLSing Back?

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