Towards an Infrastructure Model for Composing and Reconfiguring Cyber-Physical Systems

Calvo, Isidro; Portillo, Eva; Albéniz, Oier García de; Armentia, Aintzane; Marcos, Marga; Estévez, Elisabet; Marau, Ricardo; Almeida, Luís; Pedreiras, Paulo

doi:10.1007/978-3-642-35377-2_39

Cited by 5 publications

(1 citation statement)

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“…This view contains the description of the resources offered to applications. This work extends the characterization presented in (Calvo et al, 2012), in order to cope with the new modeling requirements related to the critical aspects of a system. The characterization of this previous work, which was based on FRESCOR (González and Tellería, 2008) and MARTE UML profile, considers a node as a main resource that can be composed of a set of resources divided in five groups: (1) memory, to represent any storage resource; (2) processor, for describing every CPU; (3) battery, for power supply; (4) operating systems; and (5) network interfaces to connect to networks.…”

Section: Resources Viewmentioning

confidence: 89%

Model Driven Design Support for Mixed-Criticality Distributed Systems

Armentia

Agirre

Estévez³

et al. 2014

IFAC Proceedings Volumes

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Section: Resources Viewmentioning

confidence: 89%

Model Driven Design Support for Mixed-Criticality Distributed Systems

Armentia

Agirre

Estévez³

et al. 2014

IFAC Proceedings Volumes

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A comprehensive survey on modeling of cyber‐physical systems

Graja

Kallel

Guermouche

et al. 2018

Concurrency and Computation

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SummaryModeling Cyber‐physical systems (CPS) is a challenging step that requires a lot of background from both the cyber and physical fields. However, there is a lack of studies in the existing literature that discuss the state of the art in modeling CPS or explore the research gaps in this area. In this paper, we survey existing approaches to modeling CPS. We focus on studying the considered CPS properties. Based on this study, we classify these properties and discuss their importance in different application domains. Moreover, research directions are presented to address key challenges in the specification of CPS models.

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Automation platform independent multi-agent system for robust networks of production resources in industry 4.0

et al. 2021

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The Cyber-Physical Production System (CPPS) is a concept derived from software (cyber) and hardware (physical) applications and is based on global information exchange between such systems. The CPPS is known as a trend of Industry 4.0 (I4.0) focusing on flexibility regarding new products and adaptability to new requirements. This paper focuses on two I4.0 scenarios described by the Platform Industrie 4.0 that describe challenges for the industry towards its digital future. First, it looks at the Order Controlled Production (OCP) scenario that deals with flexible and self-configuring production networks. It describes the dynamic organization of production resources required to execute a production order. Second, the Adaptable Factory (AF) application scenario is discussed, which focuses on the configuration of production resources and describes the adaptability of an individual facility through (physical) modification. This paper first provides a detailed analysis of the requirements from these scenarios. Furthermore, it analyses the current Multi-Agent System (MAS) architectures and agent-based planning and decision support systems requirements. MAS can be used to create application-independent I4.0 systems with arbitrary hardware automation platforms. To create a scalable communication network that also supports application independence and enables the semantically machine-readable description of the exchanged data, the OPC UA standard was adopted. As a result of the study, the concept shows how different and independent automation platforms can be seamlessly connected via OPC UA. The proposed MAS concept has been evaluated in different use cases, namely OCP and AF.

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Towards an Infrastructure Model for Composing and Reconfiguring Cyber-Physical Systems

Cited by 5 publications

References 1 publication

Model Driven Design Support for Mixed-Criticality Distributed Systems

Model Driven Design Support for Mixed-Criticality Distributed Systems

A comprehensive survey on modeling of cyber‐physical systems

Automation platform independent multi-agent system for robust networks of production resources in industry 4.0

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