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- W4381123848 abstract "The evolution of industrial environments makes the reconfigurability and flexibility key requirements to rapidly adapt to changeable market needs. Computing paradigms like Edge/Fog computing are able to provide the required flexibility and scalability while guaranteeing low-latencies and response times. Orchestration systems play a key role in these environments, enforcing automatic management of resources and workloads’ lifecycle, and drastically reducing the need for manual interventions. However, they do not currently meet industrial non-functional requirements, such as real-timeliness, determinism, reliability, and support for mixed-criticality workloads. In this paper, we present k4.0s, an orchestration system for Industry 4.0 (I4.0) environments, which enables the support for real-time and mixed-criticality workloads. We highlight through experiments the need for novel monitoring approaches and propose a workflow for selecting monitoring metrics, which depends on both workload requirements and hosting node guarantees. We introduce new abstractions for the components of a cluster in order to enable criticality-aware monitoring and orchestration of real-time industrial workloads. Finally, we design an orchestration system architecture that reflects the proposed model, introducing new components and prototyping a Kubernetes-based implementation, moving the first steps for a fully I4.0-enabled orchestration system." @default.
- W4381123848 created "2023-06-19" @default.
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- W4381123848 date "2023-06-18" @default.
- W4381123848 modified "2023-09-27" @default.
- W4381123848 title "Criticality-Aware Monitoring and Orchestration for Containerized Industry 4.0 Environments" @default.
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- W4381123848 doi "https://doi.org/10.1145/3604567" @default.
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