Mixed-criticality Task Models
Mixed-Criticality Task Models is a computational modeling framework that distinguishes itself within task models by enabling the simultaneous representation and scheduling of tasks with differing levels of criticality, typically to support correct operation across multiple assurance levels in real-time embedded systems.
34
Publications
1.1K
Citations
64
Authors
40
Institutions
Publications per year
2017–2026
14
Parents
34
A Bailout Protocol for Mixed Criticality Systems
Iain Bate, Alan Burns, Robert I. Davis · 2015 · 51 citations
1–5 of 34
64
6
h-index
6
h-index
University of North Carolina at Chapel Hill, United States
5 publications · 166 citations
5
h-index
4
h-index
3
h-index
1–5 of 64
40
The University of Texas at San Antonio
San Antonio, United States
6 h-index
12 publications
636 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
7 publications
266 citations

Uppsala University
Uppsala, Sweden
4 h-index
5 publications
142 citations
Huaqiao University
Xiamen, China
3 h-index
6 publications
141 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
3 h-index
8 publications
175 citations

Northeastern University
Shenyang, China
3 h-index
4 publications
137 citations

Washington University in St. Louis
St Louis, United States
2 h-index
6 publications
213 citations

University of York
York, United Kingdom
2 h-index
4 publications
206 citations
1–8 of 40
JSA · 2 publications · 88 citations
2
h-index
2 publications · 61 citations
2
h-index
Repository · 2 publications · 39 citations
2
h-index
2 publications · 38 citations
2
h-index
1 publications · 25 citations
1
h-index
1–5