Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems

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Abstract

Emerging applications such as collaborative and autonomous cyber-physical systems (CPS) seek for innovative techniques that support Quality-of-Service (QoS) analysis as key concern to be considered. The objective of this paper is to complement the software design models with an approach that provides a set of modules that are (i) representative of multiple QoS-based properties, and (ii) equipped with strategies aimed to establish rules of interaction among them in a feedback loop fashion. We propose a novel methodology that builds upon the specification of QoS-based modules and enables the generation of design alternatives as outcome of an internal intertwining of different QoS analysis results for CPS. The approach is applied to a collaborative and autonomous network of sensors, and experimental results show that software designers are supported in the selection of design alternatives by quantitative information. A comparison with an integrated model is performed to show the advantages of our novel modular QoS-based analysis.

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APA

Pinciroli, R., Mirandola, R., & Trubiani, C. (2023). Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13901 LNCS, pp. 88–104). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-34560-9_6

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