2010-11-29
Tracking per-flow state - Binned duration flow tracking
Publication
Publication
Presented at the
2010 International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS'2010 (July 2010)
Recent advances in network monitoring have increasingly focused on obtaining per-flow information, such as flow state. Tracking the state of network flows opens up a new dimension of information gathering for network operators, allowing previously unattainable data to be captured. This paper presents a time efficient novel method - Binned Duration Flow Tracking (BDFT) - of tracking per-flow state by grouping valid flows into "bins". BDFT is intended for high-speed routers where CPU time is crucial. BDFT is time efficient by adopting Bloom filters as the primary data structures. Simulation results show that BDFT can achieve over 99% accuracy on traces of real network traffic.
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| Bloom filter, Flow tracking, High-speed networks, Network monitoring | |
| 2010 International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS'2010 | |
| Organisation | Department of Systems and Computer Engineering |
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Whitehead, B. (Brad), Lung, C.H, & Rabinovitch, P. (Peter). (2010). Tracking per-flow state - Binned duration flow tracking. Presented at the 2010 International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS'2010.
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