Some recent works consider the interaction between ISPs and P2P systems and propose ISP-friendly P2P traffic control mechanisms for reducing cross-ISP traffic. We show that whereas the torrents we crawled generated 11.6 petabytes of inter-ISP traffic, our locality policy implemented for all torrents would have reduced the global inter-ISP traffic by 40%.Īs Peer-to-Peer (P2P) systems are widely deployed in the Internet, P2P traffic control becomes a challenge for Internet Service Providers (ISPs) and P2P system vendors. In addition, we crawled 214 443 torrents representing 6 113 224 unique peers spread among 9 605 ASes.
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We introduce two simple mechanisms that make high locality possible in challenging scenarios and we show that we save up to several orders of magnitude inter-ISP traffic compared to traditional locality without adversely impacting peers download completion time. In particular, how far can we push locality, and what is, at the scale of the Internet, the reduction of traffic that can be achieved with locality? In this paper, we perform extensive experiments on a controlled environment with up to 10 000 BitTorrent clients to evaluate the impact of high locality on inter-ISP links traffic and peers download completion time.
However, several fundamental issues on locality still need to be explored. Since then, P2P solutions exploiting locality have been introduced. To solve this issue, the idea to keep a fraction of the P2P traffic local to each ISP was introduced a few years ago. Indeed, whereas P2P content distribution enables financial savings for the content providers, it dramatically increases the traffic on inter-ISP links. Peer-to-peer (P2P) locality has recently raised a lot of interest in the community. In challenged settings where peers are overloaded in terms of available bandwidth, our approach provides 31% average download-rate improvement in environments with large available bandwidth, it increases download rates by 207% on average (and improves median rates by 883%). Further, we find that our system locates peers along paths that have two orders of magnitude lower latency and 30% lower loss rates than those picked at random, and that these high-quality paths can lead to significant improvements in transfer rates. Using results collected from a deployment in BitTorrent with over 120,000 users in nearly 3,000 networks, we show that our lightweight approach significantly reduces cross-ISP traffic and, over 33% of the time, it selects peers along paths that are within a single autonomous system (AS). Our approach recycles network views gathered at low cost from content distribution networks to drive biased neighbor selection without any path monitoring or probing. In this paper, we present the design, deployment and evaluation of an approach to reducing this costly cross-ISP traffic without sacrificing system performance. In an attempt to reduce these operational costs, ISPs have tried to shape, block or otherwise limit P2P traffic, much to the chagrin of their subscribers, who consistently finds ways to eschew these controls or simply switch providers. By building overlay networks that are oblivious to the underlying Internet topology and routing, these systems have become one of the greatest traffic-engineering challenges for Internet Service Providers (ISPs) and the source of costly data traffic flows. Peer-to-peer (P2P) systems, which provide a variety of popular services, such as file sharing, video streaming and voice-over- IP, contribute a significant portion of today's Internet traffic.
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