A signal analysis of network traffic anomalies
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
NetFlow: information loss or win?
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
A methodology for studying persistency aspects of internet flows
ACM SIGCOMM Computer Communication Review
Mining anomalies using traffic feature distributions
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Observations on Cisco sampled NetFlow
ACM SIGMETRICS Performance Evaluation Review - Special issue on the First ACM SIGMETRICS Workshop on Large Scale Network Inference (LSNI 2005)
Robust traffic matrix estimation with imperfect information: making use of multiple data sources
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
The power of slicing in internet flow measurement
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
ASTUTE: detecting a different class of traffic anomalies
Proceedings of the ACM SIGCOMM 2010 conference
Peeling away timing error in netflow data
PAM'11 Proceedings of the 12th international conference on Passive and active measurement
Structural analysis of network traffic matrix via relaxed principal component pursuit
Computer Networks: The International Journal of Computer and Telecommunications Networking
Measurement artifacts in netflow data
PAM'13 Proceedings of the 14th international conference on Passive and Active Measurement
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This paper analyzes the performance of two implementations of J-Flow, the flow measurement tool deployed on most Juniper routers. Our work relies on both controlled experiments and analysis of traces collected at Abilene and GEANT, which provide most of the flow traces used in the research community. We uncover two measurement artifacts in J-Flow traces: a periodic pattern and measurement gaps. We investigate routers' features that trigger these artifacts and show their impact on applications that use flow traces.