Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems

TL;DR

This paper proposes a model for optimizing workload orchestration with different criticality levels in cloud-enabled manufacturing, aiming to improve guarantees without reducing schedulable jobs.

Contribution

It introduces a novel model for managing mixed-criticality workloads in reconfigurable manufacturing systems using cloud computing.

Findings

Optimized guarantees for deployed jobs without reducing schedulable jobs

Preliminary results demonstrate effective workload orchestration

Future work includes quantitative evaluation of job isolation

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.