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arXiv · 2403.19042

Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems

Marco Barletta·Marcello Cinque·Davide De Vita
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Abstract

The adoption of cloud computing technologies in the industry is paving the way to new manufacturing paradigms. In this paper we propose a model to optimize the orchestration of workloads with differentiated criticality levels on a cloud-enabled factory floor. Preliminary results show that it is possible to optimize the guarantees to deployed jobs without penalizing the number of schedulable jobs. We indicate future research paths to quantitatively evaluate job isolation.

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Marco Barletta, Marcello Cinque, Davide De Vita. 2024-03-27. Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems. https://arxiv.org/abs/2403.19042

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