Adaptive random sampling for load change detection
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Inferring Traffic Flow Characteristics from Aggregated-Flow Measurement
SAINT '02 Proceedings of the 2002 Symposium on Applications and the Internet
Structural analysis of network traffic flows
Proceedings of the joint international conference on Measurement and modeling of computer systems
Diagnosing network-wide traffic anomalies
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Filtering and forecasting problems for aggregate traffic in internet links
Performance Evaluation
Traffic matrices: balancing measurements, inference and modeling
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Profiling internet backbone traffic: behavior models and applications
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
The power of slicing in internet flow measurement
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Anomaly detection in IP networks
IEEE Transactions on Signal Processing
A parameterizable methodology for Internet traffic flow profiling
IEEE Journal on Selected Areas in Communications
Hi-index | 0.98 |
This paper considers the problem of estimating multiple different traffic flows moving on the same physical support from aggregate measurement. This problem is relevant in the area of Internet traffic management, in particular for anomaly detections, but it also appears of interest in many other applicative areas. In this paper, two on-line procedures are proposed, characterized by the search of an optimal trade-off between the conflicting requirements of achieving good estimation accuracy and of keeping the measurement costs sufficiently low. The procedures have been tested and validated against real data with satisfactory results.