DocumentCode :
3190393
Title :
Scheduling algorithms for Elastic Mixed-Criticality tasks in multicore systems
Author :
Hang Su ; Dakai Zhu ; Mosse, Daniel
Author_Institution :
Univ. of Texas at San Antonio, San Antonio, TX, USA
fYear :
2013
fDate :
19-21 Aug. 2013
Firstpage :
352
Lastpage :
357
Abstract :
The Elastic Mixed-Criticality (E-MC) task model and an Early-Release EDF (ER-EDF) scheduling algorithm have been studied to address the service interruption problem for low-criticality tasks in uniprocessor systems. In this paper, focusing on multicore systems, we first investigate the schedulability of E-MC tasks under partitioned-EDF (P-EDF) by considering various task-to-core mapping heuristics. Then, with and without task migrations being considered, we study both global and local early-release schemes. Compared to the state-of-the-art Global EDF-VD scheduler, the superior performance of the proposed schemes in terms of improving the service levels of low-criticality tasks is confirmed through extensive simulations.
Keywords :
multiprocessing systems; processor scheduling; E-MC task model; ER-EDF scheduling algorithm; P-EDF; early-release EDF scheduling algorithm; elastic mixed-criticality task model; elastic mixed-criticality tasks; global early-release scheme; local early-release scheme; low-criticality tasks; multicore systems; partitioned-EDF; scheduling algorithms; service interruption problem; task-to-core mapping heuristics; uniprocessor systems; Computational modeling; Equations; Erbium; Mathematical model; Multicore processing; Runtime; Scheduling algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded and Real-Time Computing Systems and Applications (RTCSA), 2013 IEEE 19th International Conference on
Conference_Location :
Taipei
ISSN :
1533-2306
Type :
conf
DOI :
10.1109/RTCSA.2013.6732239
Filename :
6732239
Link To Document :
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