학술논문

Comparison between Docker and Kubernetes based Edge Architectures for Enabling Remote Model Predictive Control for Aerial Robots
Document Type
Conference
Source
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society, IECON 2022 – 48th Annual Conference of the IEEE. :1-6 Oct, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Industrial electronics
Operating systems
Delay effects
Computer architecture
Containers
Autonomous aerial vehicles
Trajectory
UAV
MPC
Edge Computing
Docker
Kuber-netes
Language
ISSN
2577-1647
Abstract
Edge computing is becoming more and more popular among researchers who seek to take advantage of the edge resources and the minimal time delays, in order to run their robotic applications more efficiently. Recently, many edge architectures have been proposed, each of them having their advantages and disadvantages, depending on each application. In this work, we present two different edge architectures for controlling the trajectory of an Unmanned Aerial Vehicle (UAV). The first architecture is based on docker containers and the second one is based on kubernetes, while the main framework for operating the robot is the Robotic Operating System (ROS). The efficiency of the overall proposed scheme is being evaluated through extended simulations for comparing the two architectures and the overall results obtained.