Online task-scheduling for fault-tolerant low-energy real-time systems

In this paper we investigate fault tolerance and Dynamic Voltage Scaling (DVS) in hard real time systems. We present two low-complexity fault-aware scheduling algorithms that combine feasibility analysis of Rate Monotonic Algorithm (RMA) schedules and DVS-based frequency scaling using exact characte...

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Published in:International Conference on Computer Aided Design: Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design : San Jose, California; 05-09 Nov. 2006 pp. 522 - 527
Main Authors: Wei, Tongquan, Mishra, Piyush, Wu, Kaijie, Liang, Han
Format: Conference Proceeding
Language:English
Published: 05.11.2006
ISBN:1595933891, 9781595933898
ISSN:1092-3152
Online Access:Get full text
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Summary:In this paper we investigate fault tolerance and Dynamic Voltage Scaling (DVS) in hard real time systems. We present two low-complexity fault-aware scheduling algorithms that combine feasibility analysis of Rate Monotonic Algorithm (RMA) schedules and DVS-based frequency scaling using exact characterization of RMA algorithm. These algorithms lay the foundation for highly efficient online schemes that minimize energy consumption by adapting DVS policies to runtime behavior of tasks and fault occurrences without violating the offline feasibility analysis. Simulation results demonstrate energy savings of up to 60% over low-energy offline scheduling algorithms [22].
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
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ISBN:1595933891
9781595933898
ISSN:1092-3152
DOI:10.1145/1233501.1233607