DocumentCode
1775806
Title
On the analysis of EDF-VD scheduled mixed-criticality real-time systems
Author
Tianyu Zhang ; Nan Guan ; Qingxu Deng ; Wang Yi
Author_Institution
Northeastern Univ., Shenyang, China
fYear
2014
fDate
18-20 June 2014
Firstpage
179
Lastpage
188
Abstract
Real-time embedded systems usually integrate multiple functionalities of different criticality levels on a shared hardware platform. For these mixed-criticality real-time systems it is a challenging problem to efficiently utilize system resource to satisfy all the timing constraints on different criticality levels. A simple yet efficient algorithm EDF-VD has recently been proposed to schedule mixed-criticality real-time systems, and shown promising real-time performance. However, the competency of EDF-VD has not been fully exploited due to the imprecise underlying analysis techniques. In this paper, we develop new schedulability analysis methods for EDF-VD. Different from previous analysis methods that separate the analysis on each individual criticality level, our new analysis looks into system behavior crossing multiple criticality levels to obtain more precisely analysis results. Experiments show that our new analysis method can significantly improve guaranteed schedulability of EDF-VD, especially for systems with more criticality levels. The price paid for improved schedulability is higher analysis complexity, but a combination of our new techniques and previous methods can obtain a good balance between the analysis precision and efficiency.
Keywords
processor scheduling; real-time systems; scheduling; EDF-VD algorithm; criticality levels; earlist deadline first with virtual deadlines; real-time embedded systems; schedulability analysis; scheduled mixed criticality real-time systems; shared hardware platform; Algorithm design and analysis; Complexity theory; Real-time systems; Schedules; Scheduling algorithms; Switches; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Embedded Systems (SIES), 2014 9th IEEE International Symposium on
Conference_Location
Pisa
Type
conf
DOI
10.1109/SIES.2014.6871202
Filename
6871202
Link To Document