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Predictability in critical systems

Authors: Gérard Le Lann;

Predictability in critical systems

Abstract

Predictability is crucial in critical applications and systems. Therefore, we examine sources of uncertainty for each of the four phases that span a project lifecycle, from initial problem capture, to system implementation, when conducted according to proof-based system engineering principles. We explore the concept of coverage applied to problems, solutions, assumptions, along with a generic problem that arises with critical applications such as, e.g., air traffic control/management, namely the real-time uniform atomic broadcast problem. We examine two design styles, namely asynchronous and synchronous solutions, and compare the resulting assumptions as well as their coverages. The central issues of overloads and timing failures that arise with synchronous models are investigated in detail.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
1
Average
Average
Average
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