The Internet-Wide Impact of P2P Traffic Localization on ISP Profitability

Zhang

2015

Sci. China Inf. Sci.

Provider Portal for Applications (P4P) is a model aiming to incorporate (peer to peer) P2P applications with Internet Service Providers (ISPs) and improve the performance of the both ISP and the P2P applications. In this study, we have analyzed the relationship between the link traffic and the P-distance, which is the core interface of P4P. In addition, the limitation of P4P in dealing with network applications having bottleneck links is illustrated. Furthermore, taking link utility function as the optimization objective, we propose a Bottleneck-Free model for P4P (BFP), making the traffic produced by P2P applications more homogeneous, which can reduce the peak link utilization, protect bottleneck links, and thereby improve both the network efficiency and the P2P performance. We have built a simulation platform based on BitTorrent and conducted extensive simulations. The simulation results demonstrate that BFP achieves a lower cost for ISPs and a better performance for P2P applications than P4P and native P2P applications, both in intra-domain and inter-domain settings. BFP performs steadily in different topologies and swarm sizes, proving that it is scalable and easy to deploy.

Section: Liu Y Et Al Sci China Inf Scimentioning

confidence: 99%

A bottleneck-free model for P4P

Zhang

2015

Sci. China Inf. Sci.

2013 IEEE International Conference on Communications (ICC)

“…At the macro level, the traffic between two ASes depends on the number of users and the popularity of the content hosted within those ASes. The common gravity models [9], [19] operate at this level. This level of description is insufficient to capture more elusive aspects of the traffic, namely what happens at the application level.…”

Section: A Traffic Modelmentioning

confidence: 99%

ITMgen — A first-principles approach to generating synthetic interdomain traffic matrices

Mikians

Laoutaris

Dhamdhere

et al. 2013

We present the design and evaluation of ITMgen, a tool for generating synthetic but representative Interdomain Traffic Matrices (ITMs). ITMgen is motivated by the observation that gravity-based models do not reflect application level or regional characteristics of Internet traffic. ITMgen works at the level of connections, taking into account the relative sizes of ASes, their popularity with respect to various applications, and the relation between forward and reverse traffic for different application types. The necessary parameters for integrating application types and the distribution of content popularity can be realistically estimated by combining public sources like Alexa that capture traffic trends at a macro level with local traffic sampling (NetFlow, DPI) for providing an additional enhancement layer at the micro level. Using the above philosophy we demonstrate that we can synthesize ITMs that match realworld measurements closer than the current state of the art. In addition, the modular design philosophy of ITMgen makes it easy to integrate additional enhancement layers that improve the accuracy of our existing implementation.

2015 International Conference on Emerging Information Technology and Engineering Solutions

“…In recent years, the crack down on the use of P2P has forced P2P applications to find out alternate ways (port masquerading, relays, tunnelling, encryption etc) to hide their traffic on the network. While there is an evidence that P2P traffic is decreasing [5], it still represents a significant fraction of the Internet traffic, and is perceived as wasteful of network resources [6].…”

Section: Introductionmentioning

confidence: 99%

Heuristic-Based Real-Time P2P Traffic Identification

Reddy¹,

Hota²

2015

Peer-to-Peer (P2P) networks have seen a rapid growth, spanning diverse applications like online anonymity (Tor), online payment (Bitcoin), file sharing (BitTorrent), etc. However, the success of these applications has raised concerns among ISPs and Network administrators. These types of traffic worsen the congestion of the network, and create security vulnerabilities. Hence, P2P traffic identification has been researched actively in recent times. Early P2P traffic identification approaches were based on port-based inspection. Presently, Deep Packet Inspection (DPI) is a prominent technique used to identify P2P traffic. But it relies on payload signatures which are not resilient against port masquerading, traffic encryption and NATing. In this paper, we propose a novel P2P traffic identification mechanism based on the host behaviour from the transport layer headers. A set of heuristics was identified by analysing the off-line datasets collected in our testbed. This approach is privacy preserving as it does not examine the payload content. The usefulness of these heuristics is shown on real-time traffic traces received from our campus backbone; where in the best case only 0.20% of flows were unknown.