FIWARE for Industry: A Data‐driven Reference Architecture

Panfilis, Stefano De; Gusmeroli, Sergio; Rodriguez, Jorge Villacieros; Benedicto, Jesús

doi:10.1002/9781119564034.ch21

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…The framework provides a collaborative business process management (CBPM) component in the form of a web-based platform for the design, execution, and monitoring of semantically enhanced BPMN 2.0 business processes in service-oriented manufacturing ecosystems [44]. FITMAN-CBPM was created as an integral part of FIWARE's virtual factory reference architecture [45]. However, the platform is enormous and can be complex to implement without technical support [46].…”

Section: Services For Workflow Managementmentioning

confidence: 99%

Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation

et al. 2023

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In an era ruled by data and information, engineers need new tools to cope with the increased complexity of industrial operations. New architectural models for industry enable open communication environments, where workflows can play a major role in providing flexible and dynamic interactions between systems. Workflows help engineers maintain precise control over their factory equipment and Information Technology (IT) services, from the initial design stages to plant operations. The current application of workflows departs from the classic business workflows that focus on office automation systems in favor of a manufacturing-oriented approach that involves direct interaction with cyber-physical systems (CPSs) on the shop floor. This paper identifies relevant industry-related challenges that hinder the adoption of workflow technology, which are classified within the context of a cohesive workflow lifecycle. The classification compares the various workflow management solutions and systems used to monitor and execute workflows. These solutions have been developed alongside the Eclipse Arrowhead framework, which provides a common infrastructure for designing systems according to the microservice architectural principles. This paper investigates and compares various solutions for workflow management and execution in light of the associated industrial requirements. Further, it compares various microservice-based approaches and their implementation. The objective is to support industrial stakeholders in their decision-making with regard to choosing among workflow management solutions.

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Section: Services For Workflow Managementmentioning

confidence: 99%

Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation

et al. 2023

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“…It addresses the specific needs of the process industry to work with digital twins and take advantage of them using cognitive solutions to improve the efficiency of real plants. At the core of the CAP is a Reference Architecture, which is based on world-class open source technologies such as FIWARE [13] and Apache [14], being compliant with state-of-the-art industrial frameworks like RAMI4.0 [15], IIRA, IDSA [16], BDVA [17]. Different data and communication protocols, such as OPC UA, MQTT and CoAP, can be connected to the CAP, leveraging on the software modules provided by FIWARE for Industry, integrated, when needed for cognitive reasons, through major Apache components.…”

Section: Reference Architecturementioning

confidence: 99%

An Edge-Cloud based Reference Architecture to support cognitive solutions in Process Industry

Salis¹,

Marguglio

Luca³

et al. 2023

Procedia Computer Science

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A review of digital twins and their application in cybersecurity based on artificial intelligence

Homaei,

Mogollón-Gutiérrez,

Sancho

et al. 2024

Artif Intell Rev

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The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, and evolution to be performed digitally or in conjunction with a cyber-physical approach to improve speed, accuracy, and efficiency over traditional engineering methods. Industry 4.0, factories of the future, and digital twins continue to benefit from the technology and provide enhanced efficiency within existing systems. Due to the lack of information and security standards associated with the transition to cyber digitisation, cybercriminals have been able to take advantage of the situation. Access to a digital twin of a product or service is equivalent to threatening the entire collection. There is a robust interaction between digital twins and artificial intelligence tools, which leads to strong interaction between these technologies, so it can be used to improve the cybersecurity of these digital platforms based on their integration with these technologies. This study aims to investigate the role of artificial intelligence in providing cybersecurity for digital twin versions of various industries, as well as the risks associated with these versions. In addition, this research serves as a road map for researchers and others interested in cybersecurity and digital security.

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FIWARE for Industry: A Data‐driven Reference Architecture

Cited by 3 publications

References 2 publications

Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation

Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation

An Edge-Cloud based Reference Architecture to support cognitive solutions in Process Industry

A review of digital twins and their application in cybersecurity based on artificial intelligence

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