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Genetic-Algorithm Solution for Designing Optimal Forwarding Tables

عنوان مقاله: Genetic-Algorithm Solution for Designing Optimal Forwarding Tables
شناسه ملی مقاله: ICS06_016
منتشر شده در ششمین کنفرانس سراسری سیستم های هوشمند در سال 1383
مشخصات نویسندگان مقاله:

Saeed Shamshiri - Electrical and Computer Engineering Department, University of Tehran,Tehran, ۱۴۳۹۵/۵۱۵, Iran
S. Mehdi Fakhraie
Caro Lucas

خلاصه مقاله:
A high speed IP address lookup engine with a reasonable memory cost is a key factor for designing a router at wire speed. This paper proposes a hardware solution that performs each IP address lookup in a few number of memory accesses with minimum amount of memory requirement. Our solution is based on dividing destination IP address into several segments. For finding the optimum address segmentation that minimizes the memory consumption, a genetic-algorithm solution is employed. The genetic program uses benchmark forwardingtables for finding the optimum points of address segmentation. The final result is a small forwarding table for the local traffic of the router. This table can be reconfigured along the time when the local traffic gradually changes. The proposed method can fit a forwarding table of size 130000 routing prefixes in about 1.5 MB of memory with only four memory accesses for each lookup search

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/150426/