Hybrid Cloud – Architecture for Administration Shells with RAMI4.0 Using Actor4j
Abstract
In this paper, the actor-oriented Java framework Actor4j is used to implement administration shells in a RAMI4.0 context to enable the implementation of hybrid cloud solutions. A novel architecture is conceptualized around the usage of the Actor Model, especially in the area of edge and cloud computing. The administration shell can be either implemented by an asset that is OPC-UA ready or be mapped to a gateway in the device (service) cloud. The administration shell implemented with the Actor Model (predominantly for the public and private cloud) consists of four modules: the components module (describing the corresponding system), the publish-subscribe module, the additional logic module (conditions, alarms), and the interaction module (behavior). The main idea is to reuse an OPC-UA compliant implementation for the internal actor logic. At the device cloud level, IT/OT entities can be composed together in a domain specific point of view. This is implemented over three abstractions levels (data acquisition, data analytics and control & monitoring). The proposed Actor Model fits very well for the implementation of large scale administrations shells.
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Seif, Toro and Akhtar presented a use case of AAS modeling to adopt devices that are not compliant with the I4.0 component by parsing a comma-separated file and creating a submodel serialized in JSON (or XML) format.
“Seif, Toro and Akhtar [125] presented a use case of AAS mod-eling to adopt devices that are not compliant with the I4.0 component by parsing a comma-separated file (containing the device definition and characterization) and creating a submodel serialized in JSON (or XML) format.”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [125]
Cites
Developing Multi‐Agent Systems with JADE
Bellifemine, F. L., Caire, G., & Greenwood, D. (2007) · Wiley eBooks · doi:10.1002/9780470058411 · Cited by 2,512 · see citing works
Actors: A Model of Concurrent Computation in Distributed Systems
Agha, G. (1986) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 2,232 · see citing works
A universal modular ACTOR formalism for artificial intelligence
Hewitt, C. E., Bishop, P., & de Steiger, R. (1973) · International Joint Conference on Artificial Intelligence · Cited by 894 · see citing works
Smart Agents in Industrial Cyber–Physical Systems
Leitão, P., Karnouskos, S., Ribeiro, L., Lee, J., Strasser, T., & Colombo, A. W. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2016.2521931 · Cited by 467 · see citing works
Wagner, C., Grothoff, J., Epple, U., Drath, R., Malakuti, S., Grüner, S., Hoffmeister, M., & Zimermann, P. (2017) · IEEE International Conference on Emerging Technologies and Factory Automation · doi:10.1109/etfa.2017.8247583 · Cited by 178 · see citing works
Cyber-physical microservices: An IoT-based framework for manufacturing systems
Thramboulidis, K., Vachtsevanou, D., & Solanos, A. (2018) · doi:10.1109/icphys.2018.8387665 · Cited by 77 · see citing works
One step towards an industry 4.0 component
Lüder, A., Schleipen, M., Schmidt, N., Pfrommer, J., & Henßen, R. (2017) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2017.8256275 · Cited by 63 · see citing works
43 years of actors: a taxonomy of actor models and their key properties
Koster, J. D., Cutsem, T. V., & Meuter, W. D. (2016) · doi:10.1145/3001886.3001890 · Cited by 58 · see citing works
IMC-AESOP outcomes: Paving the way to collaborative manufacturing systems
Colombo, A. W., Bangemann, T., & Karnouskos, S. (2014) · 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2014.6945517 · Cited by 38 · see citing works
Specification of the PERFoRM architecture for the seamless production system reconfiguration
Leitão, P., Barbosa, J., Pereira, A., Barata, J., & Colombo, A. W. (2016) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.2016.7793007 · Cited by 38 · see citing works
Standardization in cyber-physical systems: The ARUM case
Leitão, P., Barbosa, J., Papadopoulou, M.-E. C., & Venieris, I. S. (2015) · IEEE International Conference on Industrial Technology (ICIT) · doi:10.1109/icit.2015.7125539 · Cited by 37 · see citing works
A Highly Flexible, Distributed Data Analysis Framework for Industry 4.0 Manufacturing Systems
Peres, R. S., Rocha, A. D., Coelho, A., & Barata, J. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-51100-9_33 · Cited by 17 · see citing works
Combining SCADA, CIM, GridLab-D and AKKA for smart grid co-simulation
Bytschkow, D., Zellner, M., & Duchon, M. (2015) · 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) · doi:10.1109/isgt.2015.7131872 · Cited by 15 · see citing works
Embedded Actors - Towards distributed programming in the IoT
Hiesgen, R., Charousset, D., & Schmidt, T. C. (2014) · IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin) · doi:10.1109/icce-berlin.2014.7034296 · Cited by 11 · see citing works
Porrmann, T., Essmann, R., & Colombo, A. W. (2017) · Proceedings of the Annual Conference of the IEEE Industrial Electronics Society · doi:10.1109/iecon.2017.8216583 · Cited by 9 · see citing works
Development of a cyber-physical system for mobile robot control using Erlang
Szomiński, S., Gądek, K., Konarski, M., Blaszczyk, B., Anielski, P., & Turek, W. (2013) · Annals of Computer Science and Information Systems · Cited by 6 · see citing works
Geisriegler, M., Kolodiy, M., Stani, S., & Singer, R. (2017) · Euromicro Conference on Software Engineering and Advanced Applications (SEAA) · doi:10.1109/seaa.2017.39 · Cited by 6 · see citing works
Improvement of an Existing Microservices Architecture for an E-learning Platform in STEM Education
Bauer, D. A., Penz, B., Mäkiö, J., & Assaad, M. (2018) · Hochschulschriftenserver der Hochschule Emden/Leer · Cited by 4 · see citing works
Self-citationSprache für I4.0-Komponenten – Semantik der Interaktionen von I4.0-Komponenten
Diedrich, C., Belyaev, A., Schröder, T., Bock, J., Deppe, T., Hankel, M., Nehls, D., Marcon, P., Pethig, F., Reich, J., et al. (2018) · VDI Verlag eBooks · doi:10.51202/9783181023303-235 · Cited by 3 · see citing works
Actor4j: A Software Framework for the Actor Model Focusing on the Optimization of Message Passing
Bauer, D. A., & Mäkiö, J. (2018) · Hochschulschriftenserver der Hochschule Emden/Leer · Cited by 3 · see citing works
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Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71 · see citing works
“In approach to hybrid cloud architecture for AAS, Bauer and Makio [125] proposed administration shells conceptualized around the usage of the Actor Model, applicable in the area of edge and cloud computing.”
MethodHuo, R., Zeng, S., Di, Y., Cheng, X., Huang, T., Yu, F. R., & Liu, Y. (2022) · IEEE Communications Magazine · doi:10.1109/mcom.001.2100448 · Cited by 16 · see citing works
Towards a model for holistic mapping of supply chains by means of tracking and tracing technologies
Dietrich, F., Hoffmann, M., Mediavilla, M. A., Louw, L., & Palm, D. (2022) · Procedia CIRP · doi:10.1016/j.procir.2022.04.009 · Cited by 4 · see citing works
A Lightweight MES Using RAMI4.0 on the Example of Smart Insect Farms
Bauer, D. A., & Mäkiö, J. (2023) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon51785.2023.10311623 · Cited by 3 · see citing works
Self-citationBabcinschi, M., Raffaeli, R., Bilancia, P., Neto, P., & Pellicciari, M. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-74482-2_30 · Cited by 2 · see citing works
Actor-Oriented Scalable Domain-Specific Cluster Architecture for Cloud-Applications
Bauer, D. A., & Mäkiö, J. (2022) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon49645.2022.9968983 · Cited by 2 · see citing works
Self-citationTindustry: Matchmaking for I4.0 Components
Kannengiesser, U., Krenn, F., Stary, C., & Höfler, P. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-64351-5_12 · Cited by 1 · see citing works
Modular Smart City Digital Twins: A Survey of Key Technologies
Immonen, E., Villman, T., Lindholm, M., & Kaivo-oja, J. R. L. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-66594-3_33
- Authors
- Bauer, D. A., & Mäkiö, J.
- Affiliations
- University of Applied Sciences Emden Leer (DE)
- Venue
- 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
- Publisher
- IEEE
- Published
- 2019-07
- Pages
- 79-86
- ISSN
- 1935-4576 (ISSN-L)
- OpenAlex
- W3003516133
- Cited by
- 8
- References
- 20
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 4 · 2020: 1
- FWCI
- 1.81
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Industrial Informatics (INDIN) (publishedVersion)
- Hochschulschriftenserver der Hochschule Emden/Leer (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- hybrid cloud, RAMI 4.0, actor model, OPC UA, edge computing, cloud computing, publish/subscribe, Industrial Internet of Things, IT-OT integration, data acquisition, data analytics, monitoring and control
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