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Memory-Aware Feedback Scheduling of Control Tasks

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Author

Summary, in English

This paper presents the incorporation of an auto-tuning real-time garbage collector into a feedback-based on-line scheduling system. The studied feedback scheduler is designed to dynamically adjust the sampling periods of a set of controller tasks in order to maximize the overall control performance. In the suggested approach, the memory management overhead is made explicit and taken into account by the feedback scheduler when scheduling the tasks. It is also described how priorities for memory allocations can be used to control the allocation rates of the application threads in order to optimize the trade-off between memory and CPU time usage. A case study, comparing theoretical analysis and simulated results support the feasibility of the approach.

Publishing year

2006

Language

English

Pages

577-584

Publication/Series

Proceedings of the 11th IEEE Conference on Emerging Technologies and Factory Automation

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Computer Science

Conference name

IEEE Conference on Emerging Technologies and Factory Automation (ETFA)

Conference date

2006-09-20 - 2006-09-22

Conference place

Prague, Czech Republic

Status

Published

ISBN/ISSN/Other

  • ISBN: 0-7803-9758-4