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Mixed Criticality Scheduling of Probabilistic Real-Time Systems
Ref: CISTER-TR-200302       Publication Date: 28 to 29, Nov, 2019

Mixed Criticality Scheduling of Probabilistic Real-Time Systems

Ref: CISTER-TR-200302       Publication Date: 28 to 29, Nov, 2019

Abstract:
In this paper we approach the problem of Mixed Criticality (MC) for probabilistic real-time systems where tasks execution times are described with probabilistic distributions. In our analysis, the task enters high criticality mode if its response time exceeds a certain threshold, which is a slight deviation from a more classical MC. This is for obtaining an application oriented MC system in which criticality mode changes depend on actual scheduled execution. This is in contrast to classical approaches which use task execution time to make criticality mode decisions, because execution time is not affected by scheduling while the response time is. We use a graph-based approach to seek for an optimal MC schedule by exploring every possible MC schedule the task set can have. The schedule we obtain minimizes the probability of the system entering high criticality mode. In turn, this aims at maximizing the resource efficiency by the means of scheduling without compromising the execution of the high criticality tasks and minimizing the loss of lower criticality functionality. The proposed approach is applied to test cases for validation purposes.

Authors:
Jasdeep Singh
,
Luca Santinelli
,
Federico Reghenzani
,
Konstantinos Bletsas
,
David Doose
,
Zhishan Guo


Events:

SETTA 2019
28, Nov, 2019 >> 29, Nov, 2019
5th International Symposium on Dependable Software Engineering
Theories, Tools, and Applications


5th International Symposium on Dependable Software Engineering (SETTA 2019), pp 89-105.
Shanghai, China.

DOI:https://doi.org/10.1007/978-3-030-35540-1_6.
ISBN: 978-3-030-35540-1.

Notes: Part of the Lecture Notes in Computer Science book series (LNCS, volume 11951).



Record Date: 9, Mar, 2020