Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Computer networks (3rd ed.)
The performance of TCP/IP for networks with high bandwidth-delay products and random loss
IEEE/ACM Transactions on Networking (TON)
Frameworks for component-based client/server computing
ACM Computing Surveys (CSUR)
Load-tolerant differentiation with active queue management
ACM SIGCOMM Computer Communication Review
On the origin of power laws in Internet topologies
ACM SIGCOMM Computer Communication Review
Deadline Scheduling for Real-Time Systems: Edf and Related Algorithms
Deadline Scheduling for Real-Time Systems: Edf and Related Algorithms
PRDC '99 Proceedings of the 1999 Pacific Rim International Symposium on Dependable Computing
ISORC '01 Proceedings of the Fourth International Symposium on Object-Oriented Real-Time Distributed Computing
A user-friendly self-similarity analysis tool
ACM SIGCOMM Computer Communication Review
The hierarchical expert tuning of PID controllers using tools ofsoft computing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Design of a fuzzy controller for active queue management
Computer Communications
A fuzzy logic based multi-agents controller
Expert Systems with Applications: An International Journal
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The proposed Fuzzy Logic Controller (FLC) is a novel approach for dynamic buffer tuning at the user/server level. It eliminates buffer overflow by ensuring that the buffer length always cover the queue length adaptively. The FLC and the AQM (active queue management) mechanisms at the router/system level together form a unified solution to stifle TCP (Transmission Control Protocol) channel buffer overflow over the Internet. The FLC contributes to: a) prevent the AQM resources dished out at the system level from being wasted, b) shorten the service roundtrip time (RTT) by reducing retransmission, and c) alleviate network congestion in the process. Combining fuzzy logic and the conventional PIDC(Proportional + Derivative + Integral Controller) model creates the FLC that operates with the {0, Δ}2 objective function. The fuzzy logic maintains the given A safety margin about the reference point, symbolically represented by "0" in{0, Δ}2. The FLC stability and precision is independent of the traffic pattern changes because of its statistical nature. This makes the FLC buffer overflow controller/tuner suitable for applications over the Internet, where the traffic can changes suddenly, for example, from LRD (long-range dependence) to SRD (short-range dependence) or multifractal.