The stability of paths in a dynamic network
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
Temporal behavior analysis of mobile ad hoc network with different mobility patterns
Proceedings of the International Conference on Advances in Computing, Communication and Control
Integrated estimation and tracking of performance model parameters with autoregressive trends
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Internet traffic mid-term forecasting: a pragmatic approach using statistical analysis tools
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
Temporal characteristics of clustering in mobile ad hoc network
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Information Sciences: an International Journal
A two-step resource allocation procedure for LTE-based cognitive radio network
Computer Networks: The International Journal of Computer and Telecommunications Networking
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A statistical analysis of Internet traffic measurements from a campus site is carried out to examine the influence of the constituent protocols and applications on the characteristics of the aggregate stream and on packet loss statistics. While TCP remains the dominant traffic protocol through all hours of the day, a mixture of both well-known (http, ftp, nntp and smtp) and less known applications contribute significant portions to the TCP traffic mix. Statistical tests show that the aggregate TCP packet arrival process exhibits both non-stationary and nonlinear features. By filtering a subset of the applications found to exhibit non-stationary features from the aggregate process, a stationary traffic stream is derived. This filtered traffic process is modeled using nonlinear threshold auto-regressive processes. The traffic model is shown to provide good agreement with the measurement trace in the packet loss statistics. The proposed parametric model allows the design of traffic shapers and provides a simple and accurate approach for simulating Internet data traffic patterns.