Scaling Peer-to-Peer Video-on-Demand systems using helpers

Zhang, Hao; Wang, Jiajun; Chen, Minghua; Ramchandran, Kannan

doi:10.1109/icip.2009.5414399

Cited by 25 publications

(24 citation statements)

References 6 publications

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“…The bottleneck in the aggregated upload bandwidth in the overlay is one of the main problems [8]. One possible approach to increase the upload capacity is to use helpers [35], [36]. The helper role can be played by idle [37] or restricted [38] users.…”

Section: A Content Distributionmentioning

confidence: 99%

CLive: Cloud-assisted P2P live streaming

Payberah

Kavalionak

Kumaresan

et al. 2012

2012 IEEE 12th International Conference on Peer-to-Peer Computing (P2P)

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Abstract-Peer-to-peer (P2P) video streaming is an emerging technology that reduces the barrier to stream live events over the Internet. Unfortunately, satisfying soft real-time constraints on the delay between the generation of the stream and its actual delivery to users is still a challenging problem. Bottlenecks in the available upload bandwidth, both at the media source and inside the overlay network, may limit the quality of service (QoS) experienced by users. A potential solution for this problem is assisting the P2P streaming network by a cloud computing infrastructure to guarantee a minimum level of QoS. In such approach, rented cloud resources (helpers) are added on demand to the overlay, to increase the amount of total available bandwidth and the probability of receiving the video on time. Hence, the problem to be solved becomes minimizing the economical cost, provided that a set of constraints on QoS is satisfied. The main contribution of this paper is CLIVE, a cloud-assisted P2P live streaming system that demonstrates the feasibility of these ideas. CLIVE estimates the available capacity in the system through a gossip-based aggregation protocol and provisions the required resources from the cloud to guarantee a given level of QoS at low cost. We perform extensive simulations and evaluate CLIVE using large-scale experiments under dynamic realistic settings.

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Section: A Content Distributionmentioning

confidence: 99%

CLive: Cloud-assisted P2P live streaming

Payberah

Kavalionak

Kumaresan

et al. 2012

2012 IEEE 12th International Conference on Peer-to-Peer Computing (P2P)

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“…VOVO (He and Liu., 2009) combines batching and patching as the basic service architecture to serve asynchronous peers. Zhang et al (2009) propose the concept of using Internet helpers in a single-video P2P VoD application to boost system performance, while the helpers may not be watching any channel at all. However, these above studies (Vlavianos et al, 2006;Annapureddy et al, 2007;Liang et al, 2010;He and Liu., 2009;Zhang et al, 2009) focus on the single video scenario, not the multi-channel scenario.…”

Section: Related Workmentioning

confidence: 99%

“…The mesh-based system adopts the concept of file swarming where the participating peers form a randomly connected mesh and employ a pull mechanism to request missing segments, such as (Vlavianos et al, 2006;Annapureddy et al, 2007;Liang et al, 2010;He and Liu. 2009;Zhang et al, 2009). Usually, mesh-based topology leads to higher system throughput, and hence it is always adopted by the commercial Internet applications.…”

Section: Related Workmentioning

confidence: 99%

Modeling and analysis of multi-channel P2P VoD systems

Xiong

Zhang

et al. 2012

Journal of Network and Computer Applications

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“…We also have Constraint (6). Objective function (10) is the summation of the download rates of users.…”

Section: Wireless Live Streaming Applicationsmentioning

confidence: 99%

“…• In contrast to previous works, which study the case of single video [6], [7] or no multi-layer videos [3], we study multi-layer multi-video streaming, and characterize the optimal solution using linear programming (LP).…”

Section: Introductionmentioning

confidence: 99%

Multi-layer Video Streaming with Helper Nodes Using Network Coding

Ostovari

Khreishah

2013

2013 IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems

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Abstract-Video streaming is one of the dominant forms of traffic on the Internet. This increases workload on the video servers, which leads to substantial slowdowns. In order to resolve the slowdown problem, and to provide a scalable and robust infrastructure to support on-demand streaming, helper-assisted video-on-demand (VoD) systems have been introduced. In this architecture, helper nodes, which are micro-servers with limited storage and bandwidth resources, download and store the userrequested videos from a central server to decrease the load on the central server. Multi-layer videos, in which a video is divided into different layers, can also be used to improve scalability. In this paper, we study the problem of utilizing the helper nodes to minimize the pressure on the central servers. We formulate the problem as a linear programming (LP) optimization using joint inter-and intra-layer network coding (NC). We show that a lightweight triangular inter-layer NC can be used, instead of the general form of inter-layer NC, to achieve the optimal solution. Our solution can also be implemented in a distributed manner. We show how our method can be extended to the case of wireless live streaming, in which a set of videos is broadcast. We carefully study the convergence and the gain of our distributed approach.

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Scaling Peer-to-Peer Video-on-Demand systems using helpers

Cited by 25 publications

References 6 publications

CLive: Cloud-assisted P2P live streaming

CLive: Cloud-assisted P2P live streaming

Modeling and analysis of multi-channel P2P VoD systems

Multi-layer Video Streaming with Helper Nodes Using Network Coding

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