6th Junior Researcher Workshop on Real-Time Computing (JRWRTC 2012) in conjunction with the 20th International Conference on Real-Time and Network Systems (RTNS 2012) Pont-à-Mousson, France, November 8-9, 2012Verifying timing constraints is the main purpose of analyses for real-time systems. This verification can be done using probabilistic methods, which rely on statistical estimations of certain task parameters. In this paper, we address the problem of determining probability distributions for minimum inter-arrival times of tasks, using statistical methods applied on data obtained through measurements
The rigorous application of static timing analysis requires a large and costly amount of detail know...
The use of increasingly complex hardware and software platforms in response to the ever rising perfo...
Abstract This paper describes a stochastic analysis framework which computes the response time distr...
In this paper we investigate the problem of calculating the response time distribution for real-time...
21 pages, 6 figures, 2 tablesReal-time systems are a set of programs, a scheduling policy and a syst...
International audienceGuaranteeing timing constraints is the main purpose of analyses for real-time ...
Quantitative evaluation of real-time systems demands for analysis frameworks that go beyond worst-ca...
In this article we introduce the statistical theory foundation of probabilistic real-time computing:...
In this paper we present the problem of optimal priority assignments in fixed priority preemptive si...
Real-time scheduling usually considers worst-case values for the parameters of task (or message str...
International audienceThe classical model of a real-time system consists of a number of tasks, each ...
In Chapter 1 we present our contributionto the scheduling of real-time systems on multiprocessor pla...
Software tasks are time constrained in real time computing systems. To ensure the safety of the crit...
International audienceProbabilistic analysis are considered nowadays an interesting solution for rea...
Dans les systèmes informatiques temps réel, les tâches logicielles sont contraintes par le temps. Po...
The rigorous application of static timing analysis requires a large and costly amount of detail know...
The use of increasingly complex hardware and software platforms in response to the ever rising perfo...
Abstract This paper describes a stochastic analysis framework which computes the response time distr...
In this paper we investigate the problem of calculating the response time distribution for real-time...
21 pages, 6 figures, 2 tablesReal-time systems are a set of programs, a scheduling policy and a syst...
International audienceGuaranteeing timing constraints is the main purpose of analyses for real-time ...
Quantitative evaluation of real-time systems demands for analysis frameworks that go beyond worst-ca...
In this article we introduce the statistical theory foundation of probabilistic real-time computing:...
In this paper we present the problem of optimal priority assignments in fixed priority preemptive si...
Real-time scheduling usually considers worst-case values for the parameters of task (or message str...
International audienceThe classical model of a real-time system consists of a number of tasks, each ...
In Chapter 1 we present our contributionto the scheduling of real-time systems on multiprocessor pla...
Software tasks are time constrained in real time computing systems. To ensure the safety of the crit...
International audienceProbabilistic analysis are considered nowadays an interesting solution for rea...
Dans les systèmes informatiques temps réel, les tâches logicielles sont contraintes par le temps. Po...
The rigorous application of static timing analysis requires a large and costly amount of detail know...
The use of increasingly complex hardware and software platforms in response to the ever rising perfo...
Abstract This paper describes a stochastic analysis framework which computes the response time distr...