Traffic analysis of peer-to-peer IPTV communities

Silverston, Thomas; Fourmaux, Olivier; Botta, Alessio; Dainotti, Alberto; Pescapè, Antonio; Ventre, Giorgio; Salamatian, Kavé

doi:10.1016/j.comnet.2008.09.024

Cited by 67 publications

(50 citation statements)

References 44 publications

(33 reference statements)

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“…Thus long term usage patterns are recorded in order to have useful knowledge pertaining to capacity requirements. Silverston et al [11] explored the traffic analysis of IPTV communities and that run on Peer 2 Peer network. The traffic analysis can help improve the quality of services in IPTV network.…”

Section: Related Workmentioning

confidence: 99%

Modelling and Analysis of IPTV Usage Patterns for Improving Quality of Service

Murthy¹,

Gopal²

2016

IJCA

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Of late IPTV usage is growing rapidly as the viewers are interested to watch stored videos interactively over IP. The bursts in user demands for on-demand content can cause unexpected burden on the content dissemination infrastructure. Stated differently the usage dynamics of video content has its impact on the responsiveness, bandwidth and server. Especially it is non-trivial to solve the problem when number of subscribers is very huge. Here comes the need for modelling and the usage patterns of IPTV and analysing it for making important strategies for server to cope with bursts of subscriber requests. The discovery of usage patterns also considers periods of usage such as week day and week end. In this paper a framework is proposed that can help in modelling and analysis of IPTV usage patterns. The video streaming control events are also considered for the modelling. Characterization of stream control events using a finite state machine with and estimated Markov chain is made. The proposed modelling is validated with traces of operational IPTV environment in large scale.

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Section: Related Workmentioning

confidence: 99%

Modelling and Analysis of IPTV Usage Patterns for Improving Quality of Service

Murthy¹,

Gopal²

2016

IJCA

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“…We study the properties of the video and signaling traffic, the download policies of peers and the number of peers in their neighborhood. In [12], we provide a deeper analysis of the P2P-TV traffic and study the behavior of P2P-TV users. Recently, Alessandria et.…”

Section: Related Workmentioning

confidence: 99%

“…Numerous P2P-TV measurement experiments focused mainly on the reverse engineering of commercial applications [11,12,13]. Because most of these experiments studied the traffic from a single measurement point, as it was the case with our previous work [14], the main goal of these works was to infer the underlying mechanisms or architectures used by these proprietary applications.…”

Section: Introductionmentioning

confidence: 99%

Large-scale measurement experiments of P2P-TV systems insights on fairness and locality

Silverston

Jakab

Cabellos‐Aparicio

et al. 2011

Signal Processing: Image Communication

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P2P-TV is an emerging alternative to classical television broadcast systems. Leveraging possibilities offered by the Internet, several companies offer P2P-TV services to their customers. The overwhelming majority of these systems however is of closed nature, offering little insight on their traffic properties. For a better understanding of the P2P-TV landscape, we performed measurement experiments in France, Japan, Spain, and Romania, using different commercial applications. By using multiple measurement points in different locations of the world, our results can paint a global picture of the measured networks, inferring their main properties. More precisely, we focus on the level of collaboration between peers, their location and the effect of the traffic on the networks. Our results show that there is no fairness between peers and that is an important issue for the scalability of P2P-TV systems. Moreover, hundreds of Autonomous Systems are involved in the P2P-TV traffic and it points out the lack of locality-aware mechanisms for these systems. The geographic location of peers testifies the wide spread of these applications in Asia and highlights their worldwide usage.

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“…By passively studying the traffic in P2PTV infrastructures, Silverston et al were able to compare different applications pointing out their similarities and differences [13]. Looking more deeply into the traffic, they discovered that signalling traffic tends to have a large inter-packet time while video traffic tends to have a smaller one.…”

Section: Related Workmentioning

confidence: 99%