IoT Design Patterns: Computational Constructs to Design, Build and Engineer Edge Applications
Abstract
The objective of design patterns is to make design robust and to abstract reusable solutions behind expressive interfaces, independent of a concrete platform. They are abstracted away from the complexity of underlying and enabling technologies. The connected things in IoT tend to be diverse in terms of supported protocols, communication methods and capabilities, computational power and storage. This motivates us to look for more cost-effective and less resource-intensive IoT microservice models. We have identified a wide range of design disciplines involved in creating IoT systems, that act as a seamless interface for collaborating heterogeneous things, and suitable to be implemented on resource-constrained devices. The IoT patterns covered in this paper vary in their granularity and level of abstraction. They are inter-related, well-structured design artifacts, providing efficient and reliable solutions to recurring problems discovered by IoT system architects. The authors offer sound advice for designing, building, and scaling with cross-device interactions inherent in complex IoT ecosystems.
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Moving data processing and device control closer to the end-user reduces latency and dependency on external communications, maintaining the system functional even in case of interruptions of Internet access.
“An emerging trend in the IoT middleware context is to move data processing and device control closer to the enduser.This approach reduces latency and the dependency on external communications, maintaining the system functional even in the case of interruptions of Internet access.”
From Edge Computing and Microservices Middleware for Home Energy Management Systems (2022) · cites this paper as [5]
Moving data processing and device control closer to the end-user allows an additional security layer to be implemented between the edge and the cloud, leading to overall performance improvement.
“Moreover, this approach allows an additional security layer to be implemented between the edge and the cloud, leading to an overall performance improvement of the services offered [5] [3] [4].”
From Edge Computing and Microservices Middleware for Home Energy Management Systems (2022) · cites this paper as [5]
Cited by
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Design patterns for the industrial Internet of Things
Bloom, G., Alsulami, B., Nwafor, E., & Bertolotti, I. C. (2018) · 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS) · doi:10.1109/wfcs.2018.8402353 · Cited by 89 · see citing works
Edge Computing and Microservices Middleware for Home Energy Management Systems
Ferreira, L. C. B. C., Borchardt, A. D. R., Cardoso, G. D. S., Mendes Lemes, D. A., Sousa, G. R. D. R. D., Neto, F. B., de Lima, E. R., Fraidenraich, G., Cardieri, P., & Meloni, L. G. P. (2022) · IEEE Access · doi:10.1109/access.2022.3214229 · Cited by 28 · see citing works
“Moreover, this approach allows an additional security layer to be implemented between the edge and the cloud, leading to an overall performance improvement of the services offered [3], [5] [4].”
Background
- Authors
- Qanbari, S., Pezeshki, S., Raisi, R., Mahdizadeh, S., Rahimzadeh, R., Behinaein, N., Mahmoudi, F., Ayoubzadeh, S., Fazlali, P., Roshani, K., Yaghini, A., Amiri, M., Farivarmoheb, A., Zamani, A., & Dustdar, S.
- Affiliations
- TU Wien (AT)
- Instituto de Educação Superior de Brasília (BR)
- ORCID
- Dustdar, Schahram
- Venue
- 2016 IEEE First International Conference on Internet-of-Things Design and Implementation (IoTDI)
- Publisher
- IEEE
- Published
- 2016-04
- Pages
- 277-282
- OpenAlex
- W2404525183
- Cited by
- 64
- References
- 0
- Citations by year
- 2025: 1 · 2023: 4 · 2022: 10 · 2021: 9 · 2020: 9 · 2019: 17 · 2018: 8 · 2017: 4 · 2016: 2
- FWCI
- 8.83
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE/ACM International Conference on Internet-of-Things Design and Implementation (IoTDI) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Internet of Things, design patterns, edge computing, microservices, resource-constrained devices, heterogeneous devices, cross-device interaction, IoT architecture, scalability, IoT ecosystem
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