A fuzzy logic decision support system for CAC is presented which predicts the maximum expected cell loss for each ATM connection when an incoming connection is added to the existing connections. Genetic algorithms are used to automatically design the fuzzy system and to tune it using online measurements of the traffic statistics including cell loss values.
References
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Herrera, F., Lozano, M., Verdegay, J.: `A learning process for fuzzy control rulesusing genetic algorithms', DECSAI-95108, Technical Report, February 1995.
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ITU-TS: Recommendation I.371, Study Group 13, ‘Trafficcontrol and congestioncontrol in B-ISDN’, Geneva, 1995.
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http://iet.metastore.ingenta.com/content/journals/10.1049/el_19960672
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