Load-sensitive routing of long-lived IP flows
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Statistical bandwidth sharing: a study of congestion at flow level
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
New directions in traffic measurement and accounting
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
A method to compress and anonymize packet traces
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Monitoring very high speed links
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
A flow-based model for internet backbone traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
A pragmatic definition of elephants in internet backbone traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Modeling Internet backbone traffic at the flow level
IEEE Transactions on Signal Processing
Understanding Internet traffic streams: dragonflies and tortoises
IEEE Communications Magazine
A parameterizable methodology for Internet traffic flow profiling
IEEE Journal on Selected Areas in Communications
Wide-area Internet traffic patterns and characteristics
IEEE Network: The Magazine of Global Internetworking
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Collecting network traffic is becoming a more challenging task in passive network measurement due to the rapid growth of link speed. Flow-based network traffic capture and storage provides an efficient way for high-speed network measurement. The paper concentrates on the flow detection issue which is also the premise for further flow-based traffic analysis and modeling in such challenging environment. Based on the statistical investigation of the correlations between flow size and the maximum packet interarrival time within a flow, we obtain the empirical conditional distribution functions for some popular TCP protocol-based application flows, and then propose a Probability-Guaranteed Adaptive Timeout algorithm (PGAT) for flow termination decision. The assessment criteria for flow termination decision algorithm is systematically developed. Comparisons on flow generation ratio, flow intact ratio, and mean flow extra retaining time metrics indicate that the PGAT algorithm can obtain more attractive performance than other related works.