On tuning and complexity of an adaptive model predictive control scheduler

In this paper, adaptive model predictive control is applied to schedule differentiated buffers in routers. The proposed algorithm, adaptive model predictive control scheduler (AMPCS), dynamically regulates the service rates of aggregated traffic classes. This algorithm guarantees some required const...

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Bibliographic Details
Published in:Control engineering practice 2007-09, Vol.15 (9), p.1169-1178
Main Authors: Mahramian, Mehran, Taheri, Hassan, Haeri, Mohammad
Format: Article
Language:English
Subjects:
Adaptative systems
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Differentiated services
Exact sciences and technology
Model predictive control
Proportional delay
Quality of service
Scheduling
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Summary:In this paper, adaptive model predictive control is applied to schedule differentiated buffers in routers. The proposed algorithm, adaptive model predictive control scheduler (AMPCS), dynamically regulates the service rates of aggregated traffic classes. This algorithm guarantees some required constraints on proportional or absolute delay. The control parameters and the way they are adjusted as well as the problems of implementing the controller at high data rates are investigated. Theoretical analysis and numerical simulations demonstrate stability of AMPCS and its acceptable quality of service differentiations at core routers while maintaining end to end delay constraints.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2007.02.002