International audienceIn this paper we propose to quantify execution time variability of programs using statistical dispersion parameters. We show how the execution time variability can be exploited in mixed criticality real-time systems. We propose a heuristic to compute the execution time budget to be allocated to each low criticality real-time task according to its execution time variability. We show using experiments and simulations that the proposed heuristic reduces the probability of exceeding the allocated budget compared to algorithms which do not take into account the execution time variability parameter
Abstract. Certain high-performance applications like multimedia and gaming have performance requirem...
An increasing trend in embedded computing is the moving towards mixed-criticality (MC) systems, in w...
Embedded real-time systems are subjected to stringent timing constraints. Analysing their timing beh...
In this paper we approach the problem of Mixed Criticality (MC) for probabilistic real-time systems ...
Mixed-criticality systems often need to fulfill safety standards that dictate different requirements...
International audienceIn probabilistic real-time modeling, diverse task execution conditions can be ...
This paper describes an algorithm to determine the performance of real-time systems with tasks using...
Many reactive systems must be designed and analyzed prior to deployment in the presence of considera...
The mixed-criticality toolbox promises system architects a powerful framework for consolidating real...
As modern cyber-physical systems (CPS) are often mobile, their operating environments varies during ...
International audienceDesigners of embedded real-time systems derive, in general, their time paramet...
This thesis consists in revisiting traditional scheduling problematics in computational environments...
Scheduling appears frequently in distributed, cloud and high-performance computing, as well as in em...
Minimization of data-processing time and reduction of software-development time are important...
Classical analysis of real-time systems focuses on guaranteeing the schedulability of the system whe...
Abstract. Certain high-performance applications like multimedia and gaming have performance requirem...
An increasing trend in embedded computing is the moving towards mixed-criticality (MC) systems, in w...
Embedded real-time systems are subjected to stringent timing constraints. Analysing their timing beh...
In this paper we approach the problem of Mixed Criticality (MC) for probabilistic real-time systems ...
Mixed-criticality systems often need to fulfill safety standards that dictate different requirements...
International audienceIn probabilistic real-time modeling, diverse task execution conditions can be ...
This paper describes an algorithm to determine the performance of real-time systems with tasks using...
Many reactive systems must be designed and analyzed prior to deployment in the presence of considera...
The mixed-criticality toolbox promises system architects a powerful framework for consolidating real...
As modern cyber-physical systems (CPS) are often mobile, their operating environments varies during ...
International audienceDesigners of embedded real-time systems derive, in general, their time paramet...
This thesis consists in revisiting traditional scheduling problematics in computational environments...
Scheduling appears frequently in distributed, cloud and high-performance computing, as well as in em...
Minimization of data-processing time and reduction of software-development time are important...
Classical analysis of real-time systems focuses on guaranteeing the schedulability of the system whe...
Abstract. Certain high-performance applications like multimedia and gaming have performance requirem...
An increasing trend in embedded computing is the moving towards mixed-criticality (MC) systems, in w...
Embedded real-time systems are subjected to stringent timing constraints. Analysing their timing beh...