Results 31 to 40 of about 1,976,703 (276)

Mixed-criticality scheduling with memory regulation [PDF]

open access: yes, 2016
Work in Progress Session, 28th Euromicro Conference on Real-Time Systems (ECRTS 2016). 5 to 8, Jul, 2016. Toulouse, France.The state-of-the-art models and schedulability analysis for mixed-criticality multicore systems overlook low-level aspects of the ...
Åkesson, Benny   +5 more
core   +1 more source

Dynamic Constraints for Mixed-Criticality Systems [PDF]

open access: yesProceedings of the International Conference on Omni-Layer Intelligent Systems, 2019
We define quality of service requirements for mixed-criticality systems based on min-plus algebra rather than discrete criticality levels. The requirements (1) unify a spectrum of weakly-hard real-time requirements with strongly-hard real-time and soft real-time as extreme cases and (2) support dynamic tuning of task importance.
Juhász, Dávid, Jantsch, Axel
openaire   +3 more sources

Scheduling Complex Cyber-Physical Systems with Mixed-Criticality Components

open access: yesSystems, 2023
Two emerging trends for designing a complex, cyber-physical systems are the component-based and mixed-criticality (MC) approaches. A component-based approach independently develops individual components and subsequently integrates them to reduce system ...
Jaewoo Lee, Keumseok Koh
doaj   +1 more source

A Survey of Research into Mixed Criticality Systems [PDF]

open access: yesACM Computing Surveys, 2017
This survey covers research into mixed criticality systems that has been published since Vestal’s seminal paper in 2007, up until the end of 2016. The survey is organised along the lines of the major research areas within this topic. These include single processor analysis (including fixed priority and Earliest Deadline First (EDF) scheduling, shared ...
Burns, Alan, Davis, Robert Ian
openaire   +3 more sources

ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic [PDF]

open access: yes, 2021
Many safety-critical systems use criticality arithmetic, an informal practice of implementing a higher-criticality function by combining several lower-criticality redundant components or tasks.
Fadlelseed, Sajid   +5 more
core   +1 more source

A Compiler and Language Support for Designing Mixed-Criticality Applications [PDF]

open access: yesJournal of Universal Computer Science, 2021
Coexistence of software components and functions of different criticality in a single computing platform has challenged the safety community for the past two decades.
Nermin Kajtazovic   +2 more
doaj   +3 more sources

Accurate Strategy for Mixed Criticality Scheduling [PDF]

open access: yes, 2020
In mixed criticality systems, functionalities with different criticalities share the same execution platform. The goal of a mixed criticality scheduling algorithm is to ensure a safe execution of the highest criticality tasks while using efficiently the execution platform.
openaire   +3 more sources

Semi-Clairvoyance in Mixed-Criticality Scheduling [PDF]

open access: yes2019 IEEE Real-Time Systems Symposium (RTSS), 2019
In the Vestal model of mixed-criticality systems, jobs are characterized by multiple different estimates of their actual, but unknown, worst-case execution time (WCET) parameters. Prior work on mixed-criticality scheduling theory assumes that the execution duration of a job is only revealed by actually executing the job through to completion.
Agrawa, Kunal   +2 more
openaire   +2 more sources

Mixed-Criticality Scheduling with Dynamic Redistribution of Shared Cache [PDF]

open access: yes, 2017
The design of mixed-criticality systems often involves painful tradeoffs between safety guarantees and performance. However, the use of more detailed architectural models in the design and analysis of scheduling arrangements for mixed-criticality systems
Souto, Pedro F.   +5 more
core   +1 more source

A Bailout Protocol for Mixed Criticality Systems [PDF]

open access: yes2015 27th Euromicro Conference on Real-Time Systems, 2015
To move mixed criticality research into industrial practice requires models whose run-time behaviour is acceptable to systems engineers. Certain aspects of current models, such as abandoning lower criticality tasks when certain situations arise, do not give the robustness required in application domains such as the automotive and aerospace industries ...
Iain Bate   +2 more
openaire   +2 more sources

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