Decentralized Task Reallocation on Parallel Computing Architectures Targeting an Avionics Application
This work presents an online decentralized allocation algorithm of a safety-critical application on parallel computing architectures, where individual Computational Units can be affected by faults. The described method includes representing the architecture by an abstract graph where each node repre...
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| Published in: | Journal of optimization theory and applications Vol. 191; no. 2-3; pp. 874 - 898 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Springer US
01.12.2021
Springer Nature B.V |
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| ISSN: | 0022-3239, 1573-2878 |
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| Abstract | This work presents an online decentralized allocation algorithm of a safety-critical application on parallel computing architectures, where individual Computational Units can be affected by faults. The described method includes representing the architecture by an abstract graph where each node represents a Computational Unit. Applications are also represented by the graph of Computational Units they require for execution. The problem is then to decide how to allocate Computational Units to applications to guarantee execution of a safety-critical application. The problem is formulated as an optimization problem with the form of an Integer Linear Program. A state-of-the-art solver is then used to solve the problem. Decentralizing the allocation process is achieved through redundancy of the allocator executed on the architecture. No centralized element decides on the allocation of the entire architecture, thus improving the reliability of the system. Inspired by multi-core architectures in avionics systems, an experimental illustration of the work is also presented. It is used to demonstrate the capabilities of the proposed allocation process to maintain the operation of a physical system in a decentralized way while individual components fail. |
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| AbstractList | This work presents an online decentralized allocation algorithm of a safety-critical application on parallel computing architectures, where individual Computational Units can be affected by faults. The described method includes representing the architecture by an abstract graph where each node represents a Computational Unit. Applications are also represented by the graph of Computational Units they require for execution. The problem is then to decide how to allocate Computational Units to applications to guarantee execution of a safety-critical application. The problem is formulated as an optimization problem with the form of an Integer Linear Program. A state-of-the-art solver is then used to solve the problem. Decentralizing the allocation process is achieved through redundancy of the allocator executed on the architecture. No centralized element decides on the allocation of the entire architecture, thus improving the reliability of the system. Inspired by multi-core architectures in avionics systems, an experimental illustration of the work is also presented. It is used to demonstrate the capabilities of the proposed allocation process to maintain the operation of a physical system in a decentralized way while individual components fail. |
| Author | Feron, Eric Neumann, François Sutter, Louis Baufreton, Philippe Khamvilai, Thanakorn |
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| CitedBy_id | crossref_primary_10_1155_2022_8652818 |
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| ContentType | Journal Article |
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| DOI | 10.1007/s10957-021-01862-7 |
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| Keywords | Safety-critical Distributed computing Avionics Reconfigurable 90C09 90B10 Fault tolerance 93A14 Parallel computing 94C15 Integer linear programming 90C90 93B52 |
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| SubjectTerms | Algorithms Applications of Mathematics Avionics Calculus of Variations and Optimal Control; Optimization Computer architecture Embedded systems Engineering Fault tolerance Graphical representations Integer programming Linear programming Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Redundancy Safety critical Theory of Computation |
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| Title | Decentralized Task Reallocation on Parallel Computing Architectures Targeting an Avionics Application |
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| Volume | 191 |
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