Abstract—We present a new graph-based real-time task model that can specify complex job arrival patterns and global state-based mode switching. The mode switching is of a mixed-criticality style, enabling immediate changes to the parameters of active jobs upon mode switches. The resulting task model therefore generalizes previously proposed task graph models as well as mixed-criticality (sporadic) task models, and further allows for the modeling of timing properties not found in any of these models. We outline an EDF uniprocessor schedulability analysis procedure by combining ideas from prior analysis methods for graph-based and mixed-criticality task scheduling. I
Although many cyber-physical systems are both mixed-criticality system and compositional system, the...
The scheduling of mixed-criticality (MC) systems with graceful degradation is considered, where LO-c...
Many safety-critical embedded systems are subject to certification requirements; some systems may b...
Abstract We present a new graph-based real-time task model that can specify com-plex job arrival pat...
Abstract We generalize the commonly used mixed-criticality sporadic task model to let all task param...
Abstract We generalize the commonly used mixed-criticality sporadic task model to let all task param...
In this work we develop an offline analysis of periodic mixed-criticality real-time systems. We deve...
In this paper we approach the problem of Mixed Criticality (MC) for probabilistic real-time systems ...
Research on mixed-criticality scheduling has flourished since Vestal’s seminal 2007 paper, but more ...
Due to size, weight, and power considerations, there is an emerging trend in real-time embedded syst...
Abstract This paper provides a survey on task models to characterize real-time workloads at differen...
An increasing trend in safety-critical real-time systems is towards open computing environments, whe...
There is an increasing trend in embedded systems towards implementing multiple functionalities upon ...
In conventional real-time systems analysis, each system parameter is specified by a single estimate,...
In this paper we consider the problem of mixed-criticality (MC) scheduling of implicit-deadline spor...
Although many cyber-physical systems are both mixed-criticality system and compositional system, the...
The scheduling of mixed-criticality (MC) systems with graceful degradation is considered, where LO-c...
Many safety-critical embedded systems are subject to certification requirements; some systems may b...
Abstract We present a new graph-based real-time task model that can specify com-plex job arrival pat...
Abstract We generalize the commonly used mixed-criticality sporadic task model to let all task param...
Abstract We generalize the commonly used mixed-criticality sporadic task model to let all task param...
In this work we develop an offline analysis of periodic mixed-criticality real-time systems. We deve...
In this paper we approach the problem of Mixed Criticality (MC) for probabilistic real-time systems ...
Research on mixed-criticality scheduling has flourished since Vestal’s seminal 2007 paper, but more ...
Due to size, weight, and power considerations, there is an emerging trend in real-time embedded syst...
Abstract This paper provides a survey on task models to characterize real-time workloads at differen...
An increasing trend in safety-critical real-time systems is towards open computing environments, whe...
There is an increasing trend in embedded systems towards implementing multiple functionalities upon ...
In conventional real-time systems analysis, each system parameter is specified by a single estimate,...
In this paper we consider the problem of mixed-criticality (MC) scheduling of implicit-deadline spor...
Although many cyber-physical systems are both mixed-criticality system and compositional system, the...
The scheduling of mixed-criticality (MC) systems with graceful degradation is considered, where LO-c...
Many safety-critical embedded systems are subject to certification requirements; some systems may b...