A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures

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Publikace nespadá pod Pedagogickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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BANGUI Hind ROSSI Bruno BÜHNOVÁ Barbora

Rok publikování 2022
Druh Článek ve sborníku
Konference The 38th IEEE International Conference on Software Maintenance and Evolution
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www https://ieeexplore.ieee.org/abstract/document/9977445
Doi http://dx.doi.org/10.1109/ICSME55016.2022.00040
Klíčová slova Critical Infrastructures; Microservices; Antifragility;Machine Learning;Generative Adversarial Network
Popis Recently, microservices have been examined as a solution for reshaping and improving the flexibility, scalability, and maintainability of critical infrastructure systems. However, microservice systems are also suffering from the presence of a substantial number of potentially vulnerable components that may threaten the protection of critical infrastructures. To address the problem, this paper proposes to leverage the concept of antifragility built in a framework for building self-learning microservice systems that could be strengthened by faults and threats instead of being deteriorated by them. To illustrate the approach, we instantiate the proposed approach of autonomous machine learning through an experimental evaluation on a benchmarking dataset of microservice faults.
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