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Bandwidth Adaptation in Hierarchical Scheduling Using Fuzzy Controllers

Fulltext:


Authors:

Nima Khalilzad, Moris Behnam, Giacomo Spampinato , Thomas Nolte

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

7th IEEE International Symposium on Industrial Embedded Systems (SIES12)

Abstract

In our previous work, we have introduced an adaptive hierarchical scheduling framework as a solution for composing dynamic real-time systems, i.e., systems where the CPU demand of their tasks are subjected to unknown and potentially drastic changes during run-time. The framework uses the PI controller which periodically adapts the system to the current load situation. The conventional PI controller despite simplicity and low CPU overhead, provides acceptable performance. However, increasing the pressure on the controller e.g, with an application consisting of multiple tasks with drastically oscillating execution times, degrades the performance of the PI controller.Therefore, in this paper we modify the structure of our adaptive framework by replacing the PI controller with a fuzzy controller to achieve better performance. Furthermore, we conduct a simulation based case study in which we compose dynamic tasks such as video decoder tasks with a set of static tasks into a single system, and we show that the new fuzzy controller outperforms our previous PI controller.

Bibtex

@inproceedings{Khalilzad2375,
author = {Nima Khalilzad and Moris Behnam and Giacomo Spampinato and Thomas Nolte},
title = {Bandwidth Adaptation in Hierarchical Scheduling Using Fuzzy Controllers},
month = {June},
year = {2012},
booktitle = {7th IEEE International Symposium on Industrial Embedded Systems (SIES12)},
url = {http://www.es.mdu.se/publications/2375-}
}