Performance Evaluation - Performance 2005
Performance analysis of BitTorrent-like systems with heterogeneous users
Performance Evaluation
Minimizing file download time in stochastic peer-to-peer networks
IEEE/ACM Transactions on Networking (TON)
Traffic volume analysis of a nation-wide eMule community
Computer Communications
On designing peer-to-peer systems over wireless networks
International Journal of Ad Hoc and Ubiquitous Computing
Resource demand and supply in BitTorrent content-sharing communities
Computer Networks: The International Journal of Computer and Telecommunications Networking
Unfairness in the e-mule file sharing system
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
New modeling for traffic engineering in FMC environment
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
Modeling of epidemic diffusion in peer-to-peer file-sharing networks
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Performance modeling of mobile peer-to-peer systems
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
Heterogeneous download times in a homogeneous BitTorrent swarm
Computer Networks: The International Journal of Computer and Telecommunications Networking
Modeling BitTorrent-like systems with many classes of users
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Despite the recent research efforts on Peer-to-Peer networks modeling and performance evaluation, very few literature results have appeared on what concerns the effect of network characteristics on the overlay peer-to-peer services. Goal of this paper is to contribute in assessing the effect of different access link capacities on performance of a Peer-to-Peer file sharing system. In order to make the problem tractable, an analytical model referring to a simplified network model with access links belonging to two different capacity classes is developed. Our preliminary results seem to imply that, depending on evaluation metrics, bandwidth heterogeneity can have a positive effect on content propagation among peers.