Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems

Marco Barletta; Marcello Cinque; Davide De Vita

Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems

Distributed, Parallel, and Cluster Computing 2024-03-29 v1

Authors: Marco Barletta , Marcello Cinque , Davide De Vita

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.

Keywords

cloud computing scheduling distributed computing

Cite

@article{arxiv.2403.19042,
  title  = {Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems},
  author = {Marco Barletta and Marcello Cinque and Davide De Vita},
  journal= {arXiv preprint arXiv:2403.19042},
  year   = {2024}
}

Comments

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

Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems

Abstract

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