Enhancements of the Arrowhead Framework to refine inter-cloud service interactions

Hegedűs, Csaba; Kozma, Dániel; Soós, Gábor; Varga, Pál

doi:10.1109/iecon.2016.7793757

Cited by 24 publications

(13 citation statements)

References 10 publications

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“…Service producers and consumers are orchestrated together within the local clouds with the help of mandatory core systems defined by the Arrowhead framework—such as Service Registry, Orchestrator, or the Authorizer system, as shown by Figure 2 . Furthermore, the inter-cloud servicing is introduced as a novelty, and also supported [ 52 ] practically as well. Inter-cloud servicing is a necessary concept for flexible but secure information exchange between the systems of different stakeholders—so service consumers and producers can connect even if they reside in different local clouds, as Figure 3 shows.…”

Section: Related Workmentioning

confidence: 99%

Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0

Frankó

Vida

Varga

2020

Sensors

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Revolutionizing logistics and supply chain management in smart manufacturing is one of the main goals of the Industry 4.0 movement. Emerging technologies such as autonomous vehicles, Cyber-Physical Systems and digital twins enable highly automated and optimized solutions in these fields to achieve full traceability of individual products. Tracking various assets within shop-floors and the warehouse is a focal point of asset management; its aim is to enhance the efficiency of logistical tasks. Global players implement their own solutions based on the state of the art technologies. Small and medium companies, however, are still skeptic toward identification based tracking methods, because of the lack of low-cost and reliable solutions. This paper presents a novel, working, reliable, low-cost, scalable solution for asset tracking, supporting global asset management for Industry4.0. The solution uses high accuracy indoor positioning—based on Ultra-Wideband (UWB) radio technology—combined with RFID-based tracking features. Identifying assets is one of the most challenging parts of this work, so this paper focuses on how different identification approaches can be combined to facilitate an efficient and reliable identification scheme.

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Section: Related Workmentioning

confidence: 99%

Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0

Frankó

Vida

Varga

2020

Sensors

Self Cite

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“…5 Arrowhead Local Clouds, Kernkomponenten und Global Service Discovery (vgl. Hegedüs et al 2016) Arrowhead Application Systems ist wiederum, dass sie nach den Prinzipien von service-orientierten Architekturen aufgebaut sind, also ihre tatsächlichen anwendungsbezogenen Leistungen als Services bereitstellen und dokumentieren. Dies ist ein zentraler Unterschied zu OPC UA als eine Middleware, in der Services nur dazu genutzt werden können, um auf Variablen und Methoden des Informationsmodells der Applikation zuzugreifen.…”

Section: Einführung In Das Arrowhead Frameworkunclassified

Semantic Web: Befähiger der Industrie 4.0

Moder¹,

Ehm²,

Baumgärtel³

et al. 2020

Springer Reference Technik

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Vorgestellt wird die im Rahmen des von Horizon 2020/ECSEL JU geförderten Projekts Productive4.0 erarbeitete Digital Reference. Sie basiert auf einer Ontologie mit einer Vielzahl von Klassen und Eigenschaften zur Abbildung von Halbleiterprodukten, Lieferketten der Halbleiterherstellung und Prozessketten, die Halbleiter beinhalten. Konzipiert ist die Digital Reference als lingua franca, die als Plattform dient, um einen konsistenten Wissensaustausch über Abteilungs-, Domänen-oder Unternehmensgrenzen hinweg zu ermöglichen. Die Ontologie entspricht einer Beschreibungssprache, die sämtliche Teilnehmer befähigt, sich miteinander autonom auf eintretende Szenarien einstellen zu können. Sie beinhaltet neben einer Abbildung der Produkte, Anlagen und sämtlicher an der Wertschöpfung beteiligter Unternehmensprozesse auch deren Relationen. Die Digital Reference findet ihre Anwendung in einer Vielzahl von Einsatzgebieten im Kontext eines Halbleiterherstellers mit seinen Zulieferern und Kunden. Hierzu zählen Verbesserungen bei der auch überbetrieblichen gemeinsamen Nutzung, Aufbereitung und Bereitstellung von Informationen, der Extraktion impliziten Wissens sowie der Prüfung integrierter Modelle. Im Speziellen wird auf die Prinzipien der

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“…The implementation of the service registry is based on a DNS-SD [39]. However, REST APIs are the communication architecture for accessing services including registration, discovery, and interoperability [40]. The interoperability scheme of the Arrowhead framework provides a protocol translation service to support different protocols for information exchange technologies.…”

Section: Related Workmentioning

confidence: 99%

Resource Management Based on OCF for Device Self-Registration and Status Detection in IoT Networks

Jin

Kim

2019

Electronics

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Recently, there are heterogeneous devices that connect to the Internet to provide ubiquitous and intelligent services based on sensors and actuators in the network of the Internet of Things (IoT). The resources of IoT represent the physical entities on the Internet to expose functions through services. Resource management is necessary to enable a massive amount of IoT-connected devices to be discoverable and accessible in the network of IoT. In this paper, we propose an IoT resource management to provide schemes of device self-registration and status detection for devices based on the Open Connectivity Foundation (OCF) standard. This device self-registration scheme is based on an agent that is proposed for registering devices itself which deployed in the OCF network. The devices host the OCF resources to provide IoT services such as sensing and controlling through the sensors and actuators. For a group of devices, an agent-based self-registration is proposed to register the resources. Through the proposed self-registration, the information of IoT devices is published using profile and saved in the management platform that enables the clients to discover the resources and access the services. For accessing the IoT resources in the OCF network, an interworking proxy is proposed to support the communications between web clients and devices over Hypertext Transfer Protocol (HTTP) and Constrained Application Protocol (CoAP) based on OCF. Furthermore, through the interoperability of the resources using the registered information, a real-time monitoring scheme is proposed based on periodic request and response for the status detection of deployed devices.

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Enhancements of the Arrowhead Framework to refine inter-cloud service interactions

Cited by 24 publications

References 10 publications

Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0

Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0

Semantic Web: Befähiger der Industrie 4.0

Resource Management Based on OCF for Device Self-Registration and Status Detection in IoT Networks

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