Tracking Per-Flow State – Binned Duration Flow Tracking
|
| Title | Tracking Per-Flow State – Binned Duration Flow Tracking |
| Authors | |
| Abstract | 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. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2012-01-01 |
| Source | Journal of Networks Vol 7, No 1 (2012): Special Issue: Performance Modeling and Evaluation of Computer and Telecommunic |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |