Linear controller design: limits of performance
Linear controller design: limits of performance
Feedback control of congestion in packet switching networks: the case of a single congested node
IEEE/ACM Transactions on Networking (TON)
Control of uncertain systems: a linear programming approach
Control of uncertain systems: a linear programming approach
Asynchronous transfer mode (3rd ed.): solution for broadband ISDN
Asynchronous transfer mode (3rd ed.): solution for broadband ISDN
Performance Evaluation - Special issue: performance modeling tools
Robust and optimal control
Promoting the use of end-to-end congestion control in the Internet
IEEE/ACM Transactions on Networking (TON)
Transporting compressed video over ATM networks with explicit-rate feedback control
IEEE/ACM Transactions on Networking (TON)
A control-theoretic approach to the design of an explicit rate controller for ABR service
IEEE/ACM Transactions on Networking (TON)
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Enhanced distributed explicit rate allocation for ABR services in ATM networks
IEEE/ACM Transactions on Networking (TON)
The ERICA switch algorithm for ABR traffic management in ATM networks
IEEE/ACM Transactions on Networking (TON)
A Linear Dynamic Model for Design of Stable Explicit-Rate ABR Control Schemes
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
A Class of End-to-End Congestion Control Algorithms for the Internet
ICNP '98 Proceedings of the Sixth International Conference on Network Protocols
ATM rate based congestion control using a smith predictor: an EPRCA implementation
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Design of Adaptive PI Rate Controller for Best-Effort Traffic in the Internet Based on Phase Margin
IEEE Transactions on Parallel and Distributed Systems
Jetmax: Scalable max-min congestion control for high-speed heterogeneous networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Delay-dependent robust H∞ control of uncertain linear systems with time-varying delays
Computers & Mathematics with Applications
Self-tuning optimal PI rate controller for end-to-end congestion with LQR approach
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Distributed explicit rate schemes in multi-input-multi-output network systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Design of parameter tunable robust controller for active queue management based on H∞ control theory
Journal of Network and Computer Applications
A self-tuning reliable dynamic scheme for multicast flow control
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Control-based p-persistent adaptive communication protocol
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A distributed control law for load balancing in content delivery networks
IEEE/ACM Transactions on Networking (TON)
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Research on congestion-control algorithms has traditionally focused more on performance than on robustness of the closed-loop system to changes in network conditions. As the performance of the control loop is strictly connected with the quality of service, these systems are natural candidates to be approached by the optimal control theory. Unfortunately, this approach may fail in the presence of transmission delay variations, which are unavoidable in telecommunication systems.In this paper, we first show the fragility of optimal controllers and demonstrate their instability when the control delay is not known exactly. Then we propose a robust control algorithm based on a classical proportional integral derivative scheme which does not suffer from this fragility phenomenon. Its stability versus the control delay variations, as well as versus sources that transmit less than their computed share, is studied with Nyquist analysis. The control algorithm is implemented within a simulator in the framework of the asynchronous transfer mode (ATM) ABR transfer capability. The final part of the paper shows some selected results assessing the performance of the control algorithm in a realistic network environment. ABR was chosen as an example, but the control studied here can be applied in any data network to obtain a robust and reliable congestion-control scheme.