Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Dynamics of random early detection
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
Fuzzy control of ABR traffic flow in ATM LANs
ISCC '95 Proceedings of the IEEE Symposium on Computers and Communications (ISCC'95)
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
Resource pricing and the evolution of congestion control
Automatica (Journal of IFAC)
Effective control of traffic flow in ATM networks using fuzzy explicit rate marking (FERM)
IEEE Journal on Selected Areas in Communications
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Given the fact that the current Internet is getting more difficult in handling those interactive traffics which are rapidly increasing, new techniques are required. In this paper, a new Active Queue Management (AQM) algorithm for interactive communications that uses fuzzy logic is proposed. We analyse the relationship between the end-to-end performance and switch nodes' operation state in packet-switched networks. Based on this analysis, guidelines for performing control actions at gateways are given. A new AQM algorithm, Fuzzy Adaptive Optimized Marking (FAOM), is also introduced. We then compare FAOM with RED (Random Early Detection) by simulation using NS-2 to show that FAOM does improve the end-to-end performance for real-time interactive communications.