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Enhancing Feedback Control Scheduling Performance by On-line Quantification and Suppression of Measurement Disturbance

Mehdi Amirijoo, Jörgen Hansson, Svante Gunnarsson, and Sang H. Son

Presented at IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2005), San Francisco, California, March 7 - 10, 2005


It has been shown that feedback control is effective to support the specified performance of dynamic systems that are both resource insufficient and exhibit unpredictable workloads. In the control of continuous and physical systems, the controlled system is sampled as fast as possible to capture the system dynamics. In general, this property cannot be applied to the control of computer systems, as the measured variables are of statistical nature, e.g., deadline miss ratio. In this paper we quantize the disturbance present in the measured variable as a function of the sampling period and we propose a measurement disturbance suppressive control structure. The experiments we have carried out show that a controller using the proposed control structure outperforms a traditional control structure, with regard to performance reliability and adaptation.

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