NIST Net: a Linux-based network emulation tool
ACM SIGCOMM Computer Communication Review
Quantifying Skype user satisfaction
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Revealing skype traffic: when randomness plays with you
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Skype video responsiveness to bandwidth variations
Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video
Evolution of resource reciprocation strategies in P2P networks
IEEE Transactions on Signal Processing
Pricing and incentives in peer-to-peer networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
A decision-analytic approach for P2P cooperation policy setting
Proceedings of the 2010 Workshop on Economics of Networks, Systems, and Computation
Coordination of cooperation policies in a peer-to-peer system using swarm-based RL
Journal of Network and Computer Applications
Video streaming over P2P networks: Challenges and opportunities
Image Communication
A game theoretic approach to video streaming over peer-to-peer networks
Image Communication
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Skype is beyond any doubt the VoIP application in the current Internet application spectrum. Its amazing success has drawn the attention of telecom operators and the research community, both interested in knowing its internal mechanisms, characterizing its traffic, understanding its users' behavior. In this paper, we investigate the characteristics of traffic streams generated by voice and video communications, and the signaling traffic generated by Skype. Our approach is twofold, as we make use of both active and passive measurement techniques to gather a deep understanding on the traffic Skype generates. From extensive testbed experiments, we devise a source model which takes into account: i) the service type, i.e., SkypeOut calls or calls between two Skype clients, ii) the selected source Codec, iii) the adopted transport layer protocol, and iv) network conditions. Leveraging on the use of an accurate Skype classification engine that we recently proposed, we study and characterize Skype traffic based on extensive passive measurements collected from our campus LAN.