Control-Quality Optimization for Distributed Embedded Systems with Adaptive Fault Tolerance

Soheil Samii, Unmesh D. Bordoloi, Petru Eles, Zebo Peng, Anton Cervin

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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In this paper, we propose a design framework for distributed embedded control systems that ensures reliable execution and high quality of control even if some computation nodes fail. When a node fails, the configuration of the underlying distributed system changes and the system must adapt to this new situation by activating tasks at operational nodes. The task mapping as well as schedules and control laws that are customized for the new configuration influence the control quality and must, therefore, be optimized. The number of possible configurations due to faults is exponential in the number of nodes in the system. This design-space complexity leads to unaffordable design time and large memory requirements to store information related to mappings, schedules, and controllers. We demonstrate that it is sufficient to synthesize solutions for a small number of base and minimal configurations to achieve fault tolerance with an inherent minimum level of control quality. We also propose an algorithm to further improve control quality with a priority-based search of the set of configurations and trade-offs between task migration and replication.
Original languageEnglish
Title of host publication24th Euromicro Conference on Real-Time Systems (ECRTS), 2012
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)978-1-4673-2032-0
Publication statusPublished - 2012
Event24th Euromicro Conference on Real-Time Systems - Pisa, Italy
Duration: 2012 Jul 10 → …

Publication series

ISSN (Print)1068-3070


Conference24th Euromicro Conference on Real-Time Systems
Period2012/07/10 → …

Bibliographical note


Subject classification (UKÄ)

  • Control Engineering


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