Improving Traffic Locality in BitTorrent via Biased Neighbor Selection
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Taming the torrent: a practical approach to reducing cross-isp traffic in peer-to-peer systems
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
A Bandwidth-Aware Scheduling Strategy for P2P-TV Systems
P2P '08 Proceedings of the 2008 Eighth International Conference on Peer-to-Peer Computing
On the Optimal Scheduling of Streaming Applications in Unstructured Meshes
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
Modeling the Internet Routing Topology - In Less than 24h
PADS '09 Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation
ISP Friend or Foe? Making P2P Live Streaming ISP-Aware
ICDCS '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
IPTV over P2P streaming networks: the mesh-pull approach
IEEE Communications Magazine
A game theory framework for ISP streaming traffic management
Performance Evaluation
Peer-assisted network operator-friendly P2P traffic control technique
Proceedings of the 7th International Conference on Network and Services Management
Topology control strategies on P2P live video streaming service with peer churning
Computer Communications
Cooperative traffic management for video streaming overlays
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Application Layer Traffic Optimization (ALTO) is a means for operators to guide the resource provider selection of distributed applications. By localizing traffic with ALTO, Internet Service Providers (ISPs) aim to reduce the amount of costly traffic between Autonomous Systems (ASes) on the Internet. In this paper, we study the potential cost-savings for operators through ALTO-guidance for a specific type of P2P application: P2P Live Streaming. We use datasets that model the Internet's AS-level routing topology with high accuracy and which estimate the business relationships between connected ASes on the Internet. Based on this data, we investigate different ALTO strategies and quantify the number of costly AS-hops traversed. Our results show that indeed transmission costs can be reduced significantly for P2P Live Streaming with ALTO. However, for this particularly delay-sensitive type of application, ISPs have to be careful not to over-localize traffic: if peers connect to too many peers which are in the same AS but have low upload capacity, chunk loss increases considerably (resulting in poor video quality). In addition, we demonstrate that if ISPs use an ALTO strategy which recommends peers solely based on the transmission costs from the ISP's perspective, neither the individual ISPs nor the overall system can substantially decrease transport costs.