Add to ORKGAbstract This paper describes a stochastic analysis framework which computes the response time distribution and the deadline miss probability of individual tasks, even for systems with a maximum utilization greater than one. The framework is uniformly applied to fixed-priority and dynamic-priority systems and can handle tasks with arbitrary relative deadlines and execution time distributions
In this paper, we present a conjecture for exact best-case response times of periodic released, inde...
International audienceThe classical model of a real-time system consists of a number of tasks, each ...
Real-time systems are designed for applications in which response time is critical. As timing is a m...
This paper describes a stochastic analysis framework for general priority-driven periodic real-time ...
This paper describes a stochastic analysis method for general periodic real-time systems. The propos...
This thesis work describes how to apply the stochastic analysis framework, presented in [1] for gene...
Exact stochastic analysis of most real-time systems under preemptive priority-driven scheduling is u...
Real-time scheduling usually considers worst-case values for the parameters of task (or message str...
An unmistakable trend in embedded systems is the growth of soft real-time computing. A soft real-ti...
Classical analysis of real-time systems focuses in the study of the “worst-case” scenario, by assumi...
International audienceIn this paper, we prove that a mean system utilization smaller than one is a n...
Quantitative evaluation of real-time systems demands for analysis frameworks that go beyond worst-ca...
This paper describes an algorithm to determine the performance of real-time systems with tasks using...
Classical analysis of real-time systems focuses on guaranteeing the schedulability of the system whe...
The hard deadline model is very popular in real-time research, but is representative or applicable t...
In this paper, we present a conjecture for exact best-case response times of periodic released, inde...
International audienceThe classical model of a real-time system consists of a number of tasks, each ...
Real-time systems are designed for applications in which response time is critical. As timing is a m...
This paper describes a stochastic analysis framework for general priority-driven periodic real-time ...
This paper describes a stochastic analysis method for general periodic real-time systems. The propos...
This thesis work describes how to apply the stochastic analysis framework, presented in [1] for gene...
Exact stochastic analysis of most real-time systems under preemptive priority-driven scheduling is u...
Real-time scheduling usually considers worst-case values for the parameters of task (or message str...
An unmistakable trend in embedded systems is the growth of soft real-time computing. A soft real-ti...
Classical analysis of real-time systems focuses in the study of the “worst-case” scenario, by assumi...
International audienceIn this paper, we prove that a mean system utilization smaller than one is a n...
Quantitative evaluation of real-time systems demands for analysis frameworks that go beyond worst-ca...
This paper describes an algorithm to determine the performance of real-time systems with tasks using...
Classical analysis of real-time systems focuses on guaranteeing the schedulability of the system whe...
The hard deadline model is very popular in real-time research, but is representative or applicable t...
In this paper, we present a conjecture for exact best-case response times of periodic released, inde...
International audienceThe classical model of a real-time system consists of a number of tasks, each ...
Real-time systems are designed for applications in which response time is critical. As timing is a m...