Improving peer neighborhood on P2P video distribution networks using Push/Pull protocol

Oliveira, José Antônio Cortes de; Prado, Felipe Maia; Lima, Flávia M. de; Rubinstein, Marcelo G.; Sztajnberg, Alexandre

doi:10.1016/j.comcom.2014.12.007

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…In theory, an ideal protocol guarantees that at every τ i , every node has one packet that some neighbor needs [1]. In practice this is not true due to, e.g., limited buffer size or congestion.…”

Section: Numerical Resultsmentioning

confidence: 99%

See 1 more Smart Citation

On the Use of Eigenvector Centrality for Cooperative Streaming

2017

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The timely and efficient cooperative distribution of a streamlined content in a communication network is a key feature for many applications and services. One of the unsolved problems is the assignment of transmission rates to nodes given the constraints imposed by the topology, so that all nodes receive the stream with the minimal global use of resources. This paper addresses the problem exploiting the notion of eigenvector centrality. It shows that the problem can be solved efficiently in a distributed way if every node is aware of the full network topology and that in certain cases only local information on the network graph is sufficient.

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Section: Numerical Resultsmentioning

confidence: 99%

“…Distributed cooperative delivery of contents in networks is essential for several applications, in particular for peer-to-peer live video streaming. Live streaming tolerates some packet loss but puts a strong focus on timely delivery and on a balanced distribution of delays among the peers [1], [2], [3].…”

Section: Introductionmentioning

confidence: 99%

On the Use of Eigenvector Centrality for Cooperative Streaming

2017

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“…The protocol adapts a P2P topology and pulls contributing peers together while pushing free-riders away. A similar push-and-pull protocol was adopted by Oliveira et al [Oliveira, Prado, De Lima et al (2015)] to insulate free-riding nodes in P2P networks that distribute video streams. It also classified uncooperative nodes.…”

Section: Reciprocity-based Approachesmentioning

confidence: 99%

A Credit-Based Approach for Overcoming Free-Riding Behaviour in Peer-to-Peer Networks

Hazazi¹,

Almousa²,

Kurdi³

et al. 2019

Computers, Materials &Amp; Continua

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The underlying premise of peer-to-peer (P2P) systems is the trading of digital resources among individual peers to facilitate file sharing, distributed computing, storage, collaborative applications and multimedia streaming. So-called free-riders challenge the foundations of this system by consuming resources from other peers without offering any resources in return, hindering resource exchange among peers. Therefore, immense effort has been invested in discouraging free-riding and overcoming the ill effects of such unfair use of the system. However, previous efforts have all fallen short of effectively addressing free-riding behaviour in P2P networks. This paper proposes a novel approach based on utilising a credit incentive for P2P networks, wherein a grace period is introduced during which free-riders must reimburse resources. In contrast to previous approaches, the proposed system takes into consideration the upload rate of peers and a grace period. The system has been thoroughly tested in a simulated environment, and the results show that the proposed approach effectively mitigates free-riding behaviour. Compared to previous systems, the number of downloads from free-riders decreased while downloads by contributing peers increased. The results also show that under longer grace periods, the number of downloads by fast peers (those reimbursing the system within the grace period) was greater than the number of downloads by slow peers.

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“…Therefore, the scarcity of storage and computation resource for both the users and content providers in multimedia service networks can be easily overcome by integrating cloud service and social network into a cloud-based multimedia social network. Most of previous studies on P2P networks assume that all the users are homogeneous [6][7][8], that is, they are purely mobile users or purely desktop users. Actually, users in the same network are impossible to be completely homogeneous because they may differ greatly in bandwidth limit and access scheme, which thereby impacts the QoS of different users if they are treated equally.…”

Section: Introductionmentioning

confidence: 99%