Tracking per-flow state - Binned duration flow tracking
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.
|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|
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.