Architecture of a network-aware P2P-TV application: the NAPA-WINE approach

Birke, Robert; Leonardi, E.; Mellia, Marco; Bakay, A; Szemethy, Tivadar; Király, Csaba; Cigno, Renato Lo; Mathieu, Fabien; Muscariello, Luca; Niccolini, Saverio; Seedorf, Jan; Tropea, Giuseppe

doi:10.1109/mcom.2011.5784001

Cited by 33 publications

(32 citation statements)

References 10 publications

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“…The theoretic findings are validated implementing the strategies devised in Sec. V into the PeerStreamer platform [9], and comparing them with the standard overlay management strategy available in PeerStreamer and used as reference for several works like [10], [11].…”

Section: Motivation and Problem Statementmentioning

confidence: 99%

Optimized cooperative streaming in wireless mesh networks

Baldesi

Maccari

Cigno

2016

2016 IFIP Networking Conference (IFIP Networking) and Workshops

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Abstract-Peer-to-peer video streaming is a valuable technique to reduce the overhead produced by centralized and unicastbased video streaming. Key to the efficiency of a peer-topeer approach is the optimization of the logical distribution topology (the overlay with respect to the underlying network, the underlay). This work studies peer-to-peer streaming in wireless mesh networks for which the underlay is known. We propose an optimized, cross-layer approach to build the peer-to-peer distribution overlay minimizing the impact on the underlay. We design an optimal strategy, which is proven to be NP-complete, and thus not solvable with a distributed, light weight protocol. The optimal strategy is relaxed exploiting the knowledge of the betweenness centrality of the underlay nodes, obtaining two easily implementable solutions applicable to any link-state routing protocol. Simulation and emulation results (experimenting with real applications on a network emulated with the Mininet framework) support the theoretical findings, showing that the relaxed implementations are reasonably close to the optimal solution, and provide vast gains compared to the traditional overlay topology based on Erdös-Rényi models that a peer-topeer application would build.

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Section: Motivation and Problem Statementmentioning

confidence: 99%

Optimized cooperative streaming in wireless mesh networks

Baldesi

Maccari

Cigno

2016

2016 IFIP Networking Conference (IFIP Networking) and Workshops

Self Cite

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“…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%

“…This was done in order to understand the different behaviors of the PeerStreamer algorithms such that the overlay network that it constructs can be optimized. The different parameters chosen include sending different amount of copies of the chunks from the PeerStreamer source (m = 5, m = 1); keeping the best peers in the neighborhood in between topology updates of the overlay that PeerStreamer creates (T opoKeepBest); and the addition of the peers that can be selected to the neighborhood by extending the default RT T (10 ms) of the peer selection metric [4] to 20 ms .…”

Section: Groups Of Nodes Upc Guifinet Awmn Ninuxmentioning

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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“…The CONFINE project 5 was initiated to advance the understanding of the community network model, to explore the ways of improving the users quality of experience in a shared platform and to measure the sustainability of the network. For this purpose, the CONFINE project has developed an infrastructure called Community-Lab [1], which provides an environment to perform community network related experiments.…”

Section: Introductionmentioning

confidence: 99%

“…In this experimental system we deploy two applications, Tahoe-LAFS [2], [3] and PeerStreamer [4], [5], as community cloud services and measure the performance of these applications in the environment given by our approach.…”

Section: Introductionmentioning

confidence: 99%

Leveraging deployment models on low-resource devices for cloud services in community networks

Apolónia

Freitag

Navarro

2017

Simulation Modelling Practice and Theory

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Abstract-Community networks are IP networks constantly being improved that evolve into large-scale computing platforms. This has resulted from the effort to adapt the cloud computing model towards services that can operate and utilize the resources inside the community network. The network and its infrastructure are contributed by individuals, companies, organizations and are maintained by the community itself. Community cloud devices are often low computing resource devices, such as home gateways, with limited capabilities. Currently, these devices are configured to run community services only. This has become a drawback for further adoption because of contributor's difficulty to also use the donated cloud device for private purposes. We apply container-based virtualization for the problem of resource sharing in low-capacity devices in order to create a multi-purpose execution environment in a single device. Thus, a single device can be configured to deliver to the user and the community a multi-purpose environment, such as personal and public, isolated from one another, while preserving the community cloud services. Our comparative analysis with the current infrastructure in community networks gives evidence that the capability of the devices to run concurrent services is maintained.

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Architecture of a network-aware P2P-TV application: the NAPA-WINE approach

Cited by 33 publications

References 10 publications

Optimized cooperative streaming in wireless mesh networks

Optimized cooperative streaming in wireless mesh networks

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

Leveraging deployment models on low-resource devices for cloud services in community networks

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