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Research Activities
Real-Time Systems
I have been studying and designing real-time task scheduling algorithms, and their implementation in the operating system (OS), that address the challenges associated with multi-core platforms. For instance, a recent contribution on scheduling for mixed-criticality systems, which was developed in collaboration with Renault in the context of the IRT SystemX (thesis Gratia, project ELA), was shown to outperform previous approaches in terms of processor utilisation as well as the number of task preemptions. Another strong contribution on scheduling mixed-critical dependant real-time tasks was proposed in the context of the ISC chair was also shown to outperform the state of the art (thesis Medina).
Deterministic Platform
Complementing the work on task scheduling, I am additionally exploring the use of deterministic and time-predictable computing platforms. The goal of this work is to improve the analysability of critical software in terms of its worst-case behaviour, while ensuring competitive performance in the average case. Predictability can be ensured in software using hypervisors on off-the-shelf hardware, as demonstrated in a collaboration with Thales Avionics (thesis Jean).
The hypervisor intercepts accesses to shared resources (e.g., memory) and thus can manage these accesses to avoid contention and improve isolation. The quality of this work has been acknowledged through a best Paper Award and resulted in a joint patent with Thales.
Another means to improve the predictability of a platform is through specialised hardware. Current work (thesis Hebbache) aims at improving the average-case performance of the memory hierarchy of the Patmos multi-core platform by using dynamic arbitration schemes that converge to predictable Time-Division Multiplexing (TDM) in the worst-case.
Real-Time Systems
I have been studying and designing real-time task scheduling algorithms, and their implementation in the operating system (OS), that address the challenges associated with multi-core platforms. For instance, a recent contribution on scheduling for mixed-criticality systems, which was developed in collaboration with Renault in the context of the IRT SystemX (thesis Gratia, project ELA), was shown to outperform previous approaches in terms of processor utilisation as well as the number of task preemptions. Another strong contribution on scheduling mixed-critical dependant real-time tasks was proposed in the context of the ISC chair was also shown to outperform the state of the art (thesis Medina).
Deterministic Platform
Complementing the work on task scheduling, I am additionally exploring the use of deterministic and time-predictable computing platforms. The goal of this work is to improve the analysability of critical software in terms of its worst-case behaviour, while ensuring competitive performance in the average case. Predictability can be ensured in software using hypervisors on off-the-shelf hardware, as demonstrated in a collaboration with Thales Avionics (thesis Jean).
The hypervisor intercepts accesses to shared resources (e.g., memory) and thus can manage these accesses to avoid contention and improve isolation. The quality of this work has been acknowledged through a best Paper Award and resulted in a joint patent with Thales.
Another means to improve the predictability of a platform is through specialised hardware. Current work (thesis Hebbache) aims at improving the average-case performance of the memory hierarchy of the Patmos multi-core platform by using dynamic arbitration schemes that converge to predictable Time-Division Multiplexing (TDM) in the worst-case.
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Real-Time Systemsno. 4 (2023): 662-663
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SECRYPT : PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHYpp.226-236, (2022)
Communications in computer and information sciencepp.122-155, (2022)
2022 6th International Conference on Automation, Control and Robots (ICACR)pp.148-155, (2022)
HAL (Le Centre pour la Communication Scientifique Directe) (2021)
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