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Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems

Authors :
Barletta, Marco
Cinque, Marcello
De Vita, Davide
Publication Year :
2024

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.<br />Comment: S. Bernardi, T. Zoppi (Editors), Fast Abstracts and Student Forum Proceedings - EDCC 2024 - 19th European Dependable Computing Conference, Leuven, Belgium, 8-11 April 2024

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2403.19042
Document Type :
Working Paper