Design and Performance Evaluation of Containerized Microservices on Edge Gateway in Mobile IoT
Abstract
Recently, Internet of Things (IoT) has drawn a great deal of attention and is envisioned in various sectors in the near future due to its promising benefits. However, the constant and rapid growth in IoT devices also brings new challenges due to constrained power and resources associated to them. One of the challenges is to provide seamless connectivity in mobile IoT. Secondly, IoT devices may stream enormous amount of data; hence, providing a solution that can effectively reduce service cost of data transfer. Finally, there are challenges in management and deployment of services running at mobile IoT Edge Gateway. In this context, containerized virtualization solution could play a key role in support of efficient management and deployment of microservices to provide seamless connectivity. This paper proposes a lightweight container-based virtualization technology for IoT, which employs Docker container-based microservices architecture for effectively deploying applications in a virtualized ecosystem. We evaluated the performance of the proposed solution on real IoT testbed using Raspberry Pi 3 as a mobile IoT Edge Gateway for network handover decision making among various alternatives, such as Wi-Fi, Radio, and Satellite. The results demonstrated better performance compared with the native environment, i.e., the one without introduction of a virtualization layer. The results also showed that the Docker container produces negligible resource overhead and can be used on resour…
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The middleware performance was tested using the approach presented in [26] and the JMeter framework [33].
“The middleware performance were tested using the approach presented in [26] and the JMeter framework [33].”
From Edge Computing and Microservices Middleware for Home Energy Management Systems (2022) · cites this paper as [26]
No standard metrics exist to analyze the performance of a middleware, and therefore metrics are defined according to the application context.
“No standard metrics exist to analyze the performance of a middleware, and therefore metrics are defined according to the application context [26].”
From Edge Computing and Microservices Middleware for Home Energy Management Systems (2022) · cites this paper as [26]
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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
“No standard metrics exist to analyze the performance of a middleware, and therefore metrics are defined according to the application context [26].”
BackgroundMethod
- Authors
- Gaur, A. S., Budakoti, J., & Lung, C.-H.
- Affiliations
- Carleton University (CA)
- ORCID
- Lung, Chung-Horng
- Venue
- 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
- Publisher
- IEEE
- Published
- 2018-07
- Pages
- 138-145
- OpenAlex
- W2948769222
- Cited by
- 13
- References
- 0
- Citations by year
- 2024: 1 · 2023: 3 · 2022: 4 · 2021: 1 · 2020: 4
- FWCI
- 1.03
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- containerization, microservices, edge gateway, mobile Internet of Things, Docker, lightweight virtualization, resource-constrained devices, Raspberry Pi, network handover, satellite connectivity, resource overhead
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