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MPOA flow classification design and analysis based on neural network technique

โœ Scribed by S Taha; H Che; S.-Q Li

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
236 KB
Volume
24
Category
Article
ISSN
0140-3664

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โœฆ Synopsis

In this paper, we develop a framework for the ยฏow classiยฎcation (FC) design and performance analysis of multi-protocol over ATM (MPOA) network. We propose an FC algorithm, which substantially reduces the implementation complexity while achieving the same level of performance as compared to the default FC algorithm proposed by MPOA standard. We further design an adaptive, self-learning system to achieve a near-optimal ยฏow cache table management in terms of performance gain. The self-learning system is then used for the performance analysis of MPOA. The simulation study based on the real Internet/Intranet traces shows that MPOA can offer signiยฎcant performance gain in an inter-ELAN environment.

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