43 research outputs found
P2P IPTV Measurement: A Comparison Study
With the success of P2P file sharing, new emerging P2P applications arise on
the Internet for streaming content like voice (VoIP) or live video (IPTV).
Nowadays, there are lots of works measuring P2P file sharing or P2P telephony
systems, but there is still no comprehensive study about P2P IPTV, whereas it
should be massively used in the future. During the last FIFA world cup, we
measured network traffic generated by P2P IPTV applications like PPlive,
PPstream, TVants and Sopcast. In this paper we analyze some of our results
during the same games for the applications. We focus on traffic statistics and
churn of peers within these P2P networks. Our objectives are threefold: we
point out the traffic generated to understand the impact they will have on the
network, we try to infer the mechanisms of such applications and highlight
differences, and we give some insights about the users' behavior.Comment: 10 page
Improving BitTorrent's Peer Selection For Multimedia Content On-Demand Delivery
The great efficiency achieved by the BitTorrent protocol for the distribution
of large amounts of data inspired its adoption to provide multimedia content
on-demand delivery over the Internet. As it is not designed for this purpose,
some adjustments have been proposed in order to meet the related QoS
requirements like low startup delay and smooth playback continuity.
Accordingly, this paper introduces a BitTorrent-like proposal named as
Quota-Based Peer Selection (QBPS). This proposal is mainly based on the
adaptation of the original peer-selection policy of the BitTorrent protocol.
Its validation is achieved by means of simulations and competitive analysis.
The final results show that QBPS outperforms other recent proposals of the
literature. For instance, it achieves a throughput optimization of up to 48.0%
in low-provision capacity scenarios where users are very interactive.Comment: International Journal of Computer Networks & Communications(IJCNC)
Vol.7, No.6, November 201
Graffiti Networks: A Subversive, Internet-Scale File Sharing Model
The proliferation of peer-to-peer (P2P) file sharing protocols is due to
their efficient and scalable methods for data dissemination to numerous users.
But many of these networks have no provisions to provide users with long term
access to files after the initial interest has diminished, nor are they able to
guarantee protection for users from malicious clients that wish to implicate
them in incriminating activities. As such, users may turn to supplementary
measures for storing and transferring data in P2P systems. We present a new
file sharing paradigm, called a Graffiti Network, which allows peers to harness
the potentially unlimited storage of the Internet as a third-party
intermediary. Our key contributions in this paper are (1) an overview of a
distributed system based on this new threat model and (2) a measurement of its
viability through a one-year deployment study using a popular web-publishing
platform. The results of this experiment motivate a discussion about the
challenges of mitigating this type of file sharing in a hostile network
environment and how web site operators can protect their resources
Experimental Study of Broadcatching in BitTorrent
Abstract—Broadcatching is a promising mechanism to improve the experience of BitTorrent users by automatically downloading files advertised through RSS feeds. However, though widely used, the mechanism itself has not been well studied. In this paper, we conducted extensive experiments on PlanetLab to evaluate the performance of Broadcatching under different typical scenarios. The results demonstrated the effectiveness of the Broadcatching: it reduces the average completion time and downloading failure ratio. It also improves the overall fairness of the system: the subscribers are encouraged to share more while downloading faster, which results in the increased share ratio. Our study is the first work to systematically evaluate the benefit of Broadcatching and sheds lights on how to improve performance of BitTorrrent by manipulating peer’s behavior like Broadcatching. I
Is Content Publishing in BitTorrent Altruistic or Profit-Driven
BitTorrent is the most popular P2P content delivery application where
individual users share various type of content with tens of thousands of other
users. The growing popularity of BitTorrent is primarily due to the
availability of valuable content without any cost for the consumers. However,
apart from required resources, publishing (sharing) valuable (and often
copyrighted) content has serious legal implications for user who publish the
material (or publishers). This raises a question that whether (at least major)
content publishers behave in an altruistic fashion or have other incentives
such as financial. In this study, we identify the content publishers of more
than 55k torrents in 2 major BitTorrent portals and examine their behavior. We
demonstrate that a small fraction of publishers are responsible for 66% of
published content and 75% of the downloads. Our investigations reveal that
these major publishers respond to two different profiles. On one hand,
antipiracy agencies and malicious publishers publish a large amount of fake
files to protect copyrighted content and spread malware respectively. On the
other hand, content publishing in BitTorrent is largely driven by companies
with financial incentive. Therefore, if these companies lose their interest or
are unable to publish content, BitTorrent traffic/portals may disappear or at
least their associated traffic will significantly reduce
Clustering and Sharing Incentives in BitTorrent Systems
Peer-to-peer protocols play an increasingly instrumental role in Internet
content distribution. Consequently, it is important to gain a full
understanding of how these protocols behave in practice and how their
parameters impact overall performance. We present the first experimental
investigation of the peer selection strategy of the popular BitTorrent protocol
in an instrumented private torrent. By observing the decisions of more than 40
nodes, we validate three BitTorrent properties that, though widely believed to
hold, have not been demonstrated experimentally. These include the clustering
of similar-bandwidth peers, the effectiveness of BitTorrent's sharing
incentives, and the peers' high average upload utilization. In addition, our
results show that BitTorrent's new choking algorithm in seed state provides
uniform service to all peers, and that an underprovisioned initial seed leads
to the absence of peer clustering and less effective sharing incentives. Based
on our observations, we provide guidelines for seed provisioning by content
providers, and discuss a tracker protocol extension that addresses an
identified limitation of the protocol