Distributed Ledger Architecture for Automation, Analytics and Simulation in Industrial Environments

Isaja, Mauro; Soldatos, John

doi:10.1016/j.ifacol.2018.08.321

Cited by 12 publications

(6 citation statements)

References 2 publications

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“…Various technologies or techniques can be used to implement Industry 4.0. These technologies include IoT and radio frequency identification (RFID), cyber-physical systems (CPS), cloud computing, edge computing and other related technologies [17][18][19].…”

Section: Related Technologymentioning

confidence: 99%

“…About 12 mathematical models for solar panels are found in the literature that are applied to solar-wind hybrid systems as shown in Table 1 [3,[16][17][18][19][20][21][22][23][24][25][26]. For this work, the model referenced in [20][21][22] is selected because it covers most of the characteristics and it is employed in the majority of the consulted references.…”

Section: Solar Panelmentioning

confidence: 99%

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A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0

et al. 2020

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A systematic review of the literature is presented related to the usage of blockchain technology (BCT) for cyber-threats in the context of Industry 4.0. BCT plays a crucial role in creating smart factories and it is recognized as a core technology that triggers a disruptive revolution in Industry 4.0. Beyond security, authentication, asset tracking and the exchange of smart contracts, BCTs allow terminals to exchange information according to mutually agreed rules within a secured manner. Consequently, BCT can play a crucial role in industrial sustainability by preserving the assets and the environment and by enhancing the quality of life of citizens. In this work, a classification of the most important cyber-attacks that occurred in the last decade in Industry 4.0 is proposed based on four classes. The latter classes cover scanning, local to remote, power of root and denial of service (DoS). BCT is also defined and various types belong to BCT are introduced and highlighted. Likewise, BCT protocols and implementations are discussed as well. BCT implementation includes linear structure and directed acyclic graph (DAG) technology. Then, a comparative study of the most relevant works based on BCT in Industry 4.0 is conducted in terms of confidentiality, integrity, availability, privacy and multifactor authentication features. Our review shows that the integration of BCT in industry can ensure data confidentiality and integrity and should be enforced to preserve data availability and privacy. Future research directions towards enforcing BCT in the industrial field by considering machine learning, 5G/6G mobile systems and new emergent technologies are presented.

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Section: Related Technologymentioning

confidence: 99%

Section: Solar Panelmentioning

confidence: 99%

A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0

et al. 2020

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“…It additionally presents the design of a platform that implements this reference architecture with the end goal of giving functionality in three reciprocal areas, to be specific, robotization, creation, production systems' virtualization, and data examination. e introduced stage is bound to give some distinct performance and reliability benefits based on its edge computing and blockchain establishment [43]. Kuo et al [44] have analyzed the relative innovation policy of China, Germany, and USA on the basis of different policy with the aim of industrial 6 Complexity revitalization of Industry 4.0.…”

Section: Cyber-security and Industry Researches Have Been Donementioning

confidence: 99%

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

et al. 2021

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In the last decade, the Internet of Things (IoT) has grown to connect a large number of smart entities, devices, and components. These connected entities provide a wide range of services to improve the current society of end customers. The Industrial Internet of Things (IIoTs) are revolutionary systems that have linked manufacturing processes with Internet access in order to preciously increase quality of services. These systems have minimized the costs of production through collaboration with electronic objects, accumulating computing, advanced analytics, and smart perception techniques. A demanding analysis of the strengths and limitations of computational models of IIoT is an essential part of the industry and before deciding which approach to use and implement for enhancing usability. Therefore, the goal of this study is to provide feedback and information to the research community and identify patterns in recommendations for future research in the context of process, development, and monitoring of additional technologies of computational models for IIoT. This paper has presented a comprehensive summary of the existing literature on IIoT for providing details about modern industrial revolutions in the context of IIoT. Associated materials were searched and filtered for identification of relevant materials to the proposed study. These materials have been collectively studied with in-depth analysis and then summarized to condense the information of computation models for the readers as well as entrepreneurs. The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. This will develop the field of IIoT and will enhance its usability.

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“…The architecture combines edge computing and blockchain technologies for flexible, scalable, and reliable configuration and orchestration of automation workflows and distributed data analytics. Based on edge computing and blockchain technologies, Isaja and Soldatos [45] introduce the Reference Architecture (RA) and platform design of the H2020 EC co-funded FAR-EDGE project for developing industrial automation systems. The proposed RA provides functionalities in three complementary domains.…”

Section: Literature Reviewmentioning

confidence: 99%

A Distributed-Ledger, Edge-Computing Architecture for Automation and Computer Integration in Semiconductor Manufacturing

Liao¹

2020

GJCST

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Contemporary 300mm semiconductor manufacturing systems have highly automated and digitalized cyber-physical integration. They suffer from the profound problems of integrating large, centralized legacy systems with small islands of automation. With the recent advances in disruptive technologies, semiconductor manufacturing has faced dramatic pressures to reengineer its automation and computer integrated systems. This paper proposes a Distributed-Ledger, Edge-Computing Architecture (DLECA) for automation and computer integration in semiconductor manufacturing. Based on distributed ledger and edge computing technologies, DLECA establishes a decentralized software framework where manufacturing data are stored in distributed ledgers and processed locally by executing smart contracts at the edge nodes. We adopt an important topic of automation and computer integration for semiconductor research &development (R&D) operations as the study vehicle to illustrate the operational structure and functionality, applications, and feasibility of the proposed DLECA software framework.

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Distributed Ledger Architecture for Automation, Analytics and Simulation in Industrial Environments

Cited by 12 publications

References 2 publications

A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0

A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

A Distributed-Ledger, Edge-Computing Architecture for Automation and Computer Integration in Semiconductor Manufacturing

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