Research Article
An Architecture for Intelligent e-Learning Platform for Student’s Lab Deployment
@INPROCEEDINGS{10.1007/978-3-030-67101-3_23, author={Peter Mikulecky and Vladimir Sobeslav and Matej Drdla and Hana Svecova}, title={An Architecture for Intelligent e-Learning Platform for Student’s Lab Deployment}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26--27, 2020, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2021}, month={1}, keywords={Learning Lab deployment Automation Private cloud Public cloud}, doi={10.1007/978-3-030-67101-3_23} }- Peter Mikulecky
Vladimir Sobeslav
Matej Drdla
Hana Svecova
Year: 2021
An Architecture for Intelligent e-Learning Platform for Student’s Lab Deployment
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-67101-3_23
Abstract
For better understanding and better learning of new technologies, there is welcome to have some hands-on experiences with these subjects. This helps with knowledge adoption and also increases learning efficiency. In this article, there is analyzed inputs for a proposal of this system and requirements, which should be meet for such system, and also there is identified learning subjects and areas, which could use this tools. This article deals with and describes an architecture, which can help with automation and deployment labs, which can students use for learning and their research. There is described the architecture for a system, which is able to deploy these environment into more cloud type providers and also is open and able to handle more types run-time technologies, especially virtualization (e.g. OpenStack, Kubernetes and more). The architecture describes platform, which consists an portal or a learning web-based tool, which can be used for learning and also for interface of student labs, which can be automatically deployed based on input conditions with automation tools to some public or private cloud services.
