Research Article
Aquaculture Monitoring Systems Based on Lightweight Kubernetes and Rancher
@INPROCEEDINGS{10.1007/978-3-031-20398-5_4, author={Halim Fathoni and Chao-Tung Yang and Chin-Yin Huang and Chien-Yi Chen and T\^{\i}-Fēng Hsieh}, title={Aquaculture Monitoring Systems Based on Lightweight Kubernetes and Rancher}, proceedings={Smart Grid and Internet of Things. 5th EAI International Conference, SGIoT 2021, Virtual Event, December 18-19, 2021, Proceedings}, proceedings_a={SGIOT}, year={2022}, month={11}, keywords={Edge computing Edge AI Lightweight Kubernetes K3s Rancher Aquaculture}, doi={10.1007/978-3-031-20398-5_4} }- Halim Fathoni
Chao-Tung Yang
Chin-Yin Huang
Chien-Yi Chen
Tí-Fēng Hsieh
Year: 2022
Aquaculture Monitoring Systems Based on Lightweight Kubernetes and Rancher
SGIOT
Springer
DOI: 10.1007/978-3-031-20398-5_4
Abstract
Edge Computing is the new paradigm to process data at the edge of the network. The scenario of edge computing varies, depending on the case and problem. In this paper, we investigate an architecture that is suitable for Intelligence Aquaculture. This system will handle tasks such as collecting the water sensor data and running an Artificial Intelligence algorithm to train model prediction and run real-time object detection with a Deep learning algorithm and Deepstream. All applications were deployed with a docker container and managed with Lightweight Kubernetes (K3s). Rancher is also used to coordinate and visualize the resource system of the edge devices. This system architecture could be a reference for edge computing ecosystems and monitoring system of Aquaculture.
