A Hardware-Aware Application Execution Model in Mixed-Criticality Internet of Things

The Real-Time Internet of Things is an emerging technology intended to enable real-time information communication and processing over a global network of devices at the edge level. Given the lessons learned from general real-time systems, where the mixed-criticality scheduling concept has proven to...

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Bibliographic Details
Published in:Mathematics (Basel) 2022-05, Vol.10 (9), p.1537
Main Authors: Stângaciu, Cristina Sorina, Capota, Eugenia Ana, Stângaciu, Valentin, Micea, Mihai Victor, Curiac, Daniel Ioan
Format: Article
Language:English
Subjects:
Algorithms
distributed computing
Hardware
Internet of Things
Mathematics
New technology
Real time
Scheduling
scheduling algorithm
System effectiveness
Task scheduling
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Summary:The Real-Time Internet of Things is an emerging technology intended to enable real-time information communication and processing over a global network of devices at the edge level. Given the lessons learned from general real-time systems, where the mixed-criticality scheduling concept has proven to be an effective approach for complex applications, this paper formalizes the paradigm of the Mixed-Criticality Internet of Things. In this context, the evolution of real-time scheduling models is presented, reviewing all the key points in their development, together with some connections between different models. Starting from the classical mixed-criticality model, a mathematical formalization of the Mixed-Criticality Internet of Things concept, together with a specifically tailored methodology for scheduling mixed-criticality applications on IoT nodes at the edge level, is presented. Therefore, a novel real-time hardware-aware task model for distributed mixed-criticality systems is proposed. This study also offers a model for setting task parameters based on an IoT node-related affinity score, evaluates the proposed mapping algorithm for task scheduling, and presents some use cases.
ISSN:2227-7390
2227-7390
DOI:10.3390/math10091537