Improved queueing analysis of shared buffer switching networks
IEEE/ACM Transactions on Networking (TON)
Queueing analysis of a threshold based priority scheme for ATM networks
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Dynamic queue length thresholds for shared-memory packet switches
IEEE/ACM Transactions on Networking (TON)
Optimal buffer management policies for shared-buffer ATM switches
IEEE/ACM Transactions on Networking (TON)
An adaptive fuzzy threshold scheme for high performance shared-memory switches
Proceedings of the 2001 ACM symposium on Applied computing
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 1)-Volume - Volume 1
An integrated fuzzy-GA approach for buffer management
IEEE Transactions on Fuzzy Systems
Queueing in high-performance packet switching
IEEE Journal on Selected Areas in Communications
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Fuzzy systems are becoming more widespread in many applications and it is possible to implement using very large scale integration technology. This article deals with buffer management scheme based on evolutionary computing for shared memory asynchronous transfer mode switches. Output queuing is done in the proposed system to increase the throughput. The objective of this research is to model a fuzzy buffer management system that sets the threshold for the output ports in the shared memory. Genetic algorithm technique is used to optimise the fuzzy system parameters derived for each switch size and offers a high degree of scalability. The performance of designed 'fuzzy-genetic algorithm' buffer management system is compared with the push-out mechanism (ideal mechanism) and dynamic threshold mechanism. Fuzzy system is simulated using the MODELSIM software and genetic algorithm is simulated using the JAVA language.