Construction and maintenance of P2P overlays for live streaming

Miguel, Eliseu Cesar; Silva, Cristiano M.; Coelho, Fernando Carvalho da Silva; Cunha, Ítalo; Campos, Sérgio Vale Aguiar

doi:10.1007/s11042-021-10604-w

Cited by 8 publications

(13 citation statements)

References 36 publications

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“…Their simulation results demonstrate improvements in terms of video quality and frame freezing rate over the random mesh. In [21], the peers are classified into classes based on their contribution. The classes are then used to organize the peers, avoiding overloading the peers with the best connectivity.…”

Section: Related Workmentioning

confidence: 99%

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Neighbor Selection Strategies in the Wild for CDN/V2V WebRTC Live Streaming: Can we learn what a good neighbor is?

Ma¹,

Rouibia²,

Giroire³

et al. 2022

2022 IEEE 47th Conference on Local Computer Networks (LCN)

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A hybrid CDN/Viewer-to-Viewer (V2V) architecture is an attractive solution for HTTP (HLS) and MPEG-DASHbased live streaming providers. It combines a traditional CDN with a V2V overlay for exchanging video fragments, reducing the cost of the CDN while maintaining the quality of experience. This work explores machine learning models to address the key challenge of neighbor selection. Our goal is to predict the connection quality between two arbitrary viewers using features such as locality, access providers, operating systems, past CDN, and V2V throughput. The proposed solutions are validated using an A/B testing approach on our production system, demonstrating a significant improvement in key system metrics compared to the traditional locality-based methods. We observe 17% higher V2V throughput, 26% lower delay, 37% fewer lost chunks, 39% fewer re-buffering, and 20% fewer quality switches.

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Section: Related Workmentioning

confidence: 99%

“…Many studies have been proposed to improve this baseline strategy, e.g. morphing the overlay into a hybrid treemesh overlay [15,16] or mesh overlay organization including hierarchical structure creation, or locality-awareness [17]- [21].…”

Section: Introductionmentioning

confidence: 99%

Neighbor Selection Strategies in the Wild for CDN/V2V WebRTC Live Streaming: Can we learn what a good neighbor is?

Ma¹,

Rouibia²,

Giroire³

et al. 2022

2022 IEEE 47th Conference on Local Computer Networks (LCN)

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“…Ma et al [12] analyze a P2P-CDN based system and propose a peer selection strategy involving machine learning instead of localization. Miguel et al [13] propose classification of peers based on video chunk contribution. To create partnerships, they restrict each peer to choose partners from high contributing groups as well as low contributing groups to keep the system running.…”

Section: Related Workmentioning

confidence: 99%

Machine Learning-based Stable P2P IPTV Overlay

Iqbal¹,

Ullah²,

Ali³

et al. 2022

Computers, Materials &Amp; Continua

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Live video streaming is one of the newly emerged services over the Internet that has attracted immense interest of the service providers. Since Internet was not designed for such services during its inception, such a service poses some serious challenges including cost and scalability. Peer-to-Peer (P2P) Internet Protocol Television (IPTV) is an application-level distributed paradigm to offer live video contents. In terms of ease of deployment, it has emerged as a serious alternative to client server, Content Delivery Network (CDN) and IP multicast solutions. Nevertheless, P2P approach has struggled to provide the desired streaming quality due to a number of issues. Stability of peers in a network is one of the major issues among these. Most of the existing approaches address this issue through older-stable principle. This paper first extensively investigates the older-stable principle to observe its validity in different scenarios. It is observed that the older-stable principle does not hold in several of them. Then, it utilizes machine learning approach to predict the stability of peers. This work evaluates the accuracy of several machine learning algorithms over the prediction of stability, where the Gradient Boosting Regressor (GBR) out-performs other algorithms. Finally, this work presents a proof-of-concept simulation to compare the effectiveness of older-stable rule and machine learning-based predictions for the stabilization of the overlay. The results indicate that machine learning-based stability estimation significantly improves the system.

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“…From a cost perspective, however, it is necessary to alleviate the burdens caused by the increasing video traffic on CDNs since CDNs require significant investments for expanding their services. To address the scalability issue in terms of cost, P2P technology has been employed as an alternative approach to CDNs [8][9][10]. Note that available resource capacity in P2P systems increases with the number of peers without additional investment.…”

Section: Related Workmentioning

confidence: 99%

“…To mitigate the burden of CDN's increasing investment in infrastructure, we employ P2P technologies [8][9][10] where aggregate resources of the system scale with the number of users without additional investment for the services. Note that as more peers join the P2P systems, better resiliency and the faster data transmission can be provided because the peers bring network bandwidth, disk storage capacity, computing power, and memory resources together with them.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Buffering Schemes for Time-Shifted Live Streaming of Distributed Appliances

Kim

Cho²

2021

Applied Sciences

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Distributed appliances connected to the Internet have provided various multimedia services. In particular, networked Personal Video Recorders (PVRs) can store broadcast TV programs in their storage devices or receive them from central servers, enabling people to watch the programs they want at any desired time. However, the conventional CDNs capable of supporting a large number of concurrent users have limitations in scalability because more servers are required in proportion to the increased users. To address this problem, we have developed a time-shifted live streaming system over P2P networks so that PVRs can share TV programs with each other. We propose cooperative buffering schemes to provide the streaming services for time-shifted periods even when the number of PVRs playing back at the periods is not sufficient; we do so by utilizing the idle resources of the PVRs playing at the live broadcast time. To determine which chunks to be buffered, they consider the degree of deficiency and proximity and the ratio of playback requests to chunk copies. Through extensive simulations, we show that our proposed buffering schemes can significantly extend the time-shifting hours and compare the performance of two buffering schemes in terms of playback continuity and startup delay.

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Construction and maintenance of P2P overlays for live streaming

Cited by 8 publications

References 36 publications

Neighbor Selection Strategies in the Wild for CDN/V2V WebRTC Live Streaming: Can we learn what a good neighbor is?

Neighbor Selection Strategies in the Wild for CDN/V2V WebRTC Live Streaming: Can we learn what a good neighbor is?

Machine Learning-based Stable P2P IPTV Overlay

Cooperative Buffering Schemes for Time-Shifted Live Streaming of Distributed Appliances

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