Dziurzanski, P and Singh, AK and Indrusiak, LS (2017) Multi-criteria resource allocation in modal hard real-time systems. EURASIP Journal on Embedded Systems, 2017 (1). DOI https://doi.org/10.1186/s13639-017-0078-6
Dziurzanski, P and Singh, AK and Indrusiak, LS (2017) Multi-criteria resource allocation in modal hard real-time systems. EURASIP Journal on Embedded Systems, 2017 (1). DOI https://doi.org/10.1186/s13639-017-0078-6
Dziurzanski, P and Singh, AK and Indrusiak, LS (2017) Multi-criteria resource allocation in modal hard real-time systems. EURASIP Journal on Embedded Systems, 2017 (1). DOI https://doi.org/10.1186/s13639-017-0078-6
Abstract
In this paper, a novel resource allocation approach dedicated to hard real-time systems with distinctive operational modes is proposed. The aim of this approach is to reduce the energy dissipation of the computing cores by either powering them off or switching them into energy-saving states while still guaranteeing to meet all timing constraints. The approach is illustrated with two industrial applications, an engine control management and an engine control unit. Moreover, the amount of data to be migrated during the mode change is minimised. Since the number of processing cores and their energy dissipation are often negatively correlated with the amount of data to be migrated during the mode change, there is some trade-off between these values, which is also analysed in this paper.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 24 Sep 2018 14:34 |
Last Modified: | 23 Sep 2022 19:21 |
URI: | http://repository.essex.ac.uk/id/eprint/23095 |
Available files
Filename: Dziurzanski2017_Article_Multi-criteriaResourceAllocati.pdf
Licence: Creative Commons: Attribution 3.0