Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Random Data: Analysis and Measurement Procedures
Random Data: Analysis and Measurement Procedures
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
A Measurement and Modeling Study of P2P IPTV Applications
CIS '08 Proceedings of the 2008 International Conference on Computational Intelligence and Security - Volume 01
Traffic analysis of peer-to-peer IPTV communities
Computer Networks: The International Journal of Computer and Telecommunications Networking
Statistical Characterization of QoS Aspects Arising from the Transport of Skype VoIP Flows
INTERNET '09 Proceedings of the 2009 First International Conference on Evolving Internet
Statistical analysis and modeling of Skype VoIP flows
Computer Communications
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
Analyzing measurements from data with underlying dependences and heavy-tailed distributions
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
| Hi-index | 0.01 |
We study peer-to-peer packet traffic arising from passive VoIP and video measurements that are generated by Skype and IPTV clients. We provide a common methodology for the statistical characterization of the packet flows, discuss the user's satisfaction and load estimation. Two main ideas are used in our analysis. Due to the dependence of the data we first partition the observations into independent blocks and deal further with these block-wise independent data. Secondly, loss is generated by packet lengths which exceed the channel capacity in a time unit if the inter-arrival times coincide with this time unit. If the inter-arrival times are random, loss is generated by the lengths of those packets corresponding to transmission rates that exceed the channel capacity. Our methodology is demonstrated by individual Skype flows and the aggregated flow of video packets exchanged with a mobile peer of a SopCast session.