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1. M. Ilvesmäki, M. Luoma and R. Kantola, Flow Classification Schemes in Traffic-Based Multilayer IP Switching - Comparison Between Conventional and Neural Approach, Computer Communications, vol. 21, no. 13, pp. 1184-1194, Elsevier, 1998 (link)(bib)

   Abstract: In this work we compare different methods for router workload deduction and flow classification schemes. Gigabit-routing solutions and different schemes of integrated switching and routing (Internet protocol (IP) switching) have emerged. Several flow classification schemes to be used in traffic-controled IP switching are presented and evaluated. As a new alternative, the ‘Learning Vector Quantization’ classifier is examined and found to be able to successfully classify Internet traffic flows.