A delay-based aggregate rate control for P2P streaming systems

Birke, Robert; Király, Csaba; Leonardi, E.; Mellia, Marco; Meo, Michela; Traverso, Stefano

doi:10.1016/j.comcom.2012.07.005

Cited by 8 publications

(6 citation statements)

References 16 publications

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“…The data source will fragment the video stream in basic units ("chunks") and inject in the overlay only few copies of each chunk. The receiving peers will redistribute those packets to other peers and so on until every peer have received its own copy of the chunks [4].…”

Section: Peerstreamermentioning

confidence: 99%

“…This characteristic, together with the bottom-up, cooperative approach that sustains them, makes them a perfect match for P2P (peer-to-peer) technologies. P2P video streaming attracted a lot of interest in the mid 2000s, but then was mostly abandoned in favor of more traditional techniques, albeit several commercial services still exists 4 .…”

Section: Introductionmentioning

confidence: 99%

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Live Video Streaming for Community Networks, Experimenting with PeerStreamer on the Ninux Community

Maccari

Baldesi

Cigno

et al. 2015

Proceedings of the 2015 Workshop on Do-It-Yourself Networking: An Interdisciplinary Approach

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P2P Live video streaming could be a distinguishing feature of Community Networks, due to the affinity to both technical and social characteristics of such networks. It can help binding together communities, it provides a good means for inclusion of people as well as to deliver information and local events. Video streaming in community networks, however, is still problematic; this work describes how to customize PeerStreamer, an open source P2P video streaming platform, to an existing Community Network in the city of Florence, Italy. The paper exposes the motivations that make PeerStreamer a perfect match with the philosophy and the technical features of a community network and describes how the community network of Florence can be a very good testbed given the mixture of technical and social skills that animate it. The proposed adaptation and implementation exploits a so-far underused feature of PeerStreamer: the possibility of separating the streaming engine from the play-out part on different hosts. This feature makes it possible to install the streaming engine, which is very efficient and has a very small memory footprint, directly on the community network routing nodes, so that the streaming topology can be adapted to the community network topology by directly accessing routing information. On the other hand, the player can run on standard PCs and use standard interfaces to access the stream.

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Section: Peerstreamermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Live Video Streaming for Community Networks, Experimenting with PeerStreamer on the Ninux Community

Maccari

Baldesi

Cigno

et al. 2015

Proceedings of the 2015 Workshop on Do-It-Yourself Networking: An Interdisciplinary Approach

View full text Add to dashboard Cite

show abstract

“…Intuitively, it should be large enough to fully exploit the peer upload capacity, but it must not be too large to cause the accumulation of chunks to be transmitted adding queuing delay prior to chunk transmissions. We adopt Hose Rate Control (HRC) proposed in [17] to automatically adapt the number of offers to both peer upload capacity and system demand. Simpler trading schemes are less performing and can hide the impact of the overlay on the overall system performance.…”

Section: A Peerstreamer Architecturementioning

confidence: 99%

Neighborhood Filtering Strategies for Overlay Construction in P2P-TV Systems: Design and Experimental Comparison

Traverso

Abeni

Birke

et al. 2015

IEEE/ACM Trans. Networking

Self Cite

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“…Chunks consists of parts of the video to be streamed (by default, this is one frame of the video). At the beginning of the streaming process, these chunks are all from the same peer (since only one peer is the source), then the source sends m copies of the chunks to random peers (m = 3 by default), creating an overlay topology with all peers [3] in order to exchange chunks between them. The whole architecture and vision of PeerStreamer is described in detail in [4].…”

Section: I I L I V E S T R E a M I N G S E R V I C Ementioning

confidence: 99%

Integration of an Assisted P2P Live Streaming Service in Community Network Clouds

Selimi

Apolónia

Olid

et al. 2015

2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom)

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Abstract-Wireless community networks (CNs) are large-scale, self-organized and decentralized communication infrastructures built and operated by citizens for citizens. Community network cloud infrastructures have been recently introduced to run services inside the network, without the need to consume them from the Internet. We have developed a Linux-based distribution code-named Cloudy, which fosters the service deployment and automation in community network clouds. In this paper we present two ways provisioned by Cloudy to integrate the services and improve the users QoS in these clouds. First, we present a distributed service discovery mechanism that helps users with service quality metrics to choose the best service from a pool of instances. Second, we experiment with a live video streaming service deployed in CN environments, using more than 50 real CN nodes across Europe for the evaluation. Our analysis shows that tuning the vital parameters of this service as neighborhood peer selection strategies, and source node dispersion strategy, improves the video streaming QoS in the CNs. Our results indicate that both ways help the user to experience improved service performance. Automated service selection, needed once the number of micro service providers becomes larger, is the next step that can be built upon our results.

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A delay-based aggregate rate control for P2P streaming systems

Cited by 8 publications

References 16 publications

Live Video Streaming for Community Networks, Experimenting with PeerStreamer on the Ninux Community

Live Video Streaming for Community Networks, Experimenting with PeerStreamer on the Ninux Community

Neighborhood Filtering Strategies for Overlay Construction in P2P-TV Systems: Design and Experimental Comparison

Integration of an Assisted P2P Live Streaming Service in Community Network Clouds

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