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ACM Transactions on Embedded Computing Systems
Article . 2025 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2025
Data sources: DBLP
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A Specification Framework for Mixed-Criticality Scheduling Protocols

Authors: Alan Burns 0001; Cliff B. Jones;

A Specification Framework for Mixed-Criticality Scheduling Protocols

Abstract

This article presents a general formal framework for describing the relationship between a criticality-aware scheduler, a set of application jobs that are assigned different criticality levels, and an environment that generates both work and faults that the run-time system must control. The proposed formalism extends the rely-guarantee approach, which facilitates formal reasoning about the functional behaviour of concurrent systems, to address real-time properties. The exposition of the general framework is supplemented by a seven step approach that enables it to be instantiated to deliver the formal specification of any proposed mixed-criticality scheduling protocol. The expressive power of the approach is explored via a non-trivial instantiation.

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United Kingdom
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green