A GA paradigm for learning fuzzy rules
Fuzzy Sets and Systems - Special issue on connectionist and hybrid connectionist systems for approximate reasoning
ATM networks: principles and use
ATM networks: principles and use
ATM Cell Scheduling by Function Level Evolvable Hardware
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
Priority Scheduling and Buffer Management for ATM Traffic Shaping
FTDCS '99 Proceedings of the 7th IEEE Workshop on Future Trends of Distributed Computing Systems
Static priority scheduling for ATM networks
RTSS '97 Proceedings of the 18th IEEE Real-Time Systems Symposium
Promises and challenges of evolvable hardware
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Implementation of evolutionary fuzzy systems
IEEE Transactions on Fuzzy Systems
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In this paper, we propose an evolvable fuzzy system for ATM cell scheduling. When the scenarios of cell flows in an ATM network change dramatically, traditional scheduling algorithms, first-in-first-out (FIFO) and static priority, which employ static switching scheme may see their efficiency deteriorate. An alternative is to use dynamically weighted priority, which changes the priority based on the cell delay. Still, the algorithm per se is fixed and on the hardware level, nothing changes. Our goal in this paper is to achieve hardware adaptability and demonstrate its applicability in ATM switching. To do this, we proposed an evolvable fuzzy system [1]. With evolvable fuzzy system (EFS), the system undergoes transformation in response to changes in the cell patterns in order to maintain operational efficiency. We envisage that such a system is potentially useful for demanding real-time dynamic control applications.