Khamvilai, T and Sutter, L and Mains, JB and Feron, E and Baufreton, P and Neumann, F and Krishna, M and Nandy, SK and Narayan, R and Haldar, C (2019) Task Allocation of Safety-Critical Applications on Reconfigurable Multi-Core Architectures with an Application on Control of Propulsion System. In: 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), 8-12 Sept. 2019, San Diego, CA, USA, USA.
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Abstract
In the aerospace industry, the highest criticality standard is required for the certification of avionics systems. A multi-core processor with reconfiguration capabilities where safety-critical applications are reallocated once they are affected by faults is one efficient way to enforce such criticality constraints. This paper presents a new model of a task reallocation problem for a reconfigurable multi-core architecture, which allows an execution of lower priority applications when the resources for executing the higher application are insufficient. Furthermore, it provides an implementation of an actual cyber-physical system: the control of a propulsive system with three redundant controllers. In addition to the fault injection mechanisms, a fault recovery capability and a fault detection system based on a majority rule voter are included. © 2019 IEEE.
Item Type: | Conference Paper |
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Publication: | AIAA/IEEE Digital Avionics Systems Conference - Proceedings |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | cited By 0; Conference of 38th IEEE/AIAA Digital Avionics Systems Conference, DASC 2019 ; Conference Date: 8 September 2019 Through 12 September 2019; Conference Code:159581 |
Keywords: | Aerospace industry; Criticality (nuclear fission); Embedded systems; Fault detection; Propulsion; Reconfigurable architectures; Safety engineering, Fault detection systems; Multi-core processor; Multicore architectures; Propulsion system; Reconfiguration capability; Redundant controllers; Safety critical applications; Task reallocation, Digital avionics |
Department/Centre: | Division of Interdisciplinary Sciences > Computational and Data Sciences |
Date Deposited: | 29 Oct 2020 09:42 |
Last Modified: | 29 Oct 2020 09:42 |
URI: | http://eprints.iisc.ac.in/id/eprint/65664 |
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