Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Large-scale systems: modeling, control, and fuzzy logic
Large-scale systems: modeling, control, and fuzzy logic
Promoting the use of end-to-end congestion control in the Internet
IEEE/ACM Transactions on Networking (TON)
A control theoretic approach to active queue management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Fuzzy Control
The BLUE active queue management algorithms
IEEE/ACM Transactions on Networking (TON)
On Control Parameters Tuning for Active Queue Management Mechanisms using Multivariate Analysis
SAINT '03 Proceedings of the 2003 Symposium on Applications and the Internet
A Predictive and Robust Active Queue Management for Internet Congestion Control
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
Hybrid Active Queue Management
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
Variable Structure Control in Active Queue Management for TCP with ECN
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
Design of a robust active queue management algorithm based on feedback compensation
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
An adaptive virtual queue (AVQ) algorithm for active queue management
IEEE/ACM Transactions on Networking (TON)
A hierarchical characterization of a live streaming media workload
IEEE/ACM Transactions on Networking (TON)
Advances in internet congestion control
IEEE Communications Surveys & Tutorials
IEEE Network: The Magazine of Global Internetworking
IEEE Transactions on Wireless Communications
FQL-RED: an adaptive scalable schema for active queue management
International Journal of Network Management
Self-Evolvable Protocol Design Using Genetic Algorithms
International Journal of Applied Evolutionary Computation
A robust active queue management scheme for network congestion control
Computers and Electrical Engineering
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Autonomic networking has been proposed as an approach to reduce cost and complexity of managing communication functions. An autonomic system is self-configuring, self-optimizing, self-healing and self-protecting. Such a system requires the minimum of administration, primarily involving policy-level management and AI-cognitive models. On the other hand, numerous Active Queue Management (AQM) algorithms have been proposed in the literature to address the problem of congestion in the Internet. Their performance is highly dependent on parameters' setting and tuning. Besides that, most of the AQM algorithms focus on throughput optimization and fail to provide bounded transmission delay while providing high link utilization to popular TCP-based radio/video streaming applications. Tackling the aforementioned concerns, in this paper we propose and evaluate a novel self-configuring AQM algorithm based on fuzzy logic. The proposed approach simplifies significantly the deployment and management of such complex QoS control mechanisms in the Internet providing at the same time a good tradeoff between link utilization and queuing latency. The introduced algorithm is compared with the most efficient adaptive AQM algorithms proposed to date such as ARED, REM, BLUE, PID and LRED. The performance analysis demonstrates that the proposed ''Fast and Autonomic Fuzzy Controller'' (FAFC): (1) minimizes queue fluctuation, (2) optimizes the throughput regardless of the traffic load variation and the presence of unresponsive UDP/RTP based voice and video communications, and (3) suggests the best compromise between link utilization and queuing delay.