“Predictability and Efficiency in Contemporary Hard RTOS for Multiprocessor Systems”

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|type=inproceedings
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|title=Predictability and Efficiency in Contemporary Hard RTOS for Multiprocessor Systems
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|author=André Nogueira, Mário Calha
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|ResearchLine=Timeliness and Adaptation in Dependable Systems (TADS)
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|month=aug
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|year=2011
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|abstract=Hard real-time operating systems have been mostly designed
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        Predictability and Efficiency in Contemporary Hard RTOS for Multiprocessor Systems
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|author=
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        André Nogueira, Mário Calha
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        http://www.navigators.di.fc.ul.pt/archive/papers/06029901.pdf
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|abstract=
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        Hard real-time operating systems have been mostly designed
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for uniprocessors. Driven by the high computational demand of
for uniprocessors. Driven by the high computational demand of
real-time systems, these operating systems have been re-designed for
real-time systems, these operating systems have been re-designed for
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affect the predictability and performance of multiprocessor hard
affect the predictability and performance of multiprocessor hard
real-time systems.
real-time systems.
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|booktitle=Proceedings of the 2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA '11)
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        inproceedings
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|volume=2
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|pages=3--8
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        IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
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|url=http://www.navigators.di.fc.ul.pt/archive/papers/06029901.pdf
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        aug
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|year=
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        2011
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        Timeliness and Adaptation in Dependable Systems (TADS)
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Latest revision as of 10:17, 23 July 2014

André Nogueira, Mário Calha

in Proceedings of the 2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA '11), vol. 2, Aug. 2011, pp. 3–8.

Abstract: Hard real-time operating systems have been mostly designed for uniprocessors. Driven by the high computational demand of real-time systems, these operating systems have been re-designed for multiprocessors. Researchers have been identifying issues that affect the predictability of multiprocessor hard real-time systems. These sources of unpredictability make it difficult to accurately predict safe and tight worst-case execution time bounds of real-time tasks. As a result, the performance of multiprocessor hard real-time systems is compromised. In this paper, we present a middleware architecture that aims to provide predictability and high efficiency for multiprocessor hard real-time systems. The middleware supports hybrid hard real-time tasks, which are adaptive hard real-time services that intend to ensure predictability and performance. We also present a prototype of this architecture. Moreover, we identify and discuss issues that affect the predictability and performance of multiprocessor hard real-time systems.

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Research line(s): Timeliness and Adaptation in Dependable Systems (TADS)

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