Cloud Foundations and Infrastructures
Niveau
Second cycle, master's degree
Learning outcomes of the courses/module
The participants:
• are able to describe concepts of cloud computing
• are able to compare the impacts and benefits of cloud computing for the economy (e.g., cost pressures and energy) and society (e.g., data protection)
• are able to explain fundamental concepts of cloud computing (IaaS, PaaS, SaaS, etc.) and infrastructure management (virtualization, configuration tools, monitoring tools, etc.)
• are able to identify and explain advanced concepts and service models
• are able to apply the technologies learned in practical exercises
• are able to identify and use common AI cloud services
• are able to compare operating models with regard to resource consumption and sustainability
• are able to describe concepts of cloud computing
• are able to compare the impacts and benefits of cloud computing for the economy (e.g., cost pressures and energy) and society (e.g., data protection)
• are able to explain fundamental concepts of cloud computing (IaaS, PaaS, SaaS, etc.) and infrastructure management (virtualization, configuration tools, monitoring tools, etc.)
• are able to identify and explain advanced concepts and service models
• are able to apply the technologies learned in practical exercises
• are able to identify and use common AI cloud services
• are able to compare operating models with regard to resource consumption and sustainability
Prerequisites for the course
No prerequisites
Course content
- History and overview
- Cloud computing concepts, such as service models and deployment models
- Fundamental technologies of cloud computing, including virtualization and infrastructure management
- Recent developments in cloud computing, such as containerization and serverless computing
- Strategies, tasks, challenges, and risks in cloud sourcing
- AI cloud services
- Sustainability and resource consumption of cloud computing versus on-premises computing
- Cloud computing concepts, such as service models and deployment models
- Fundamental technologies of cloud computing, including virtualization and infrastructure management
- Recent developments in cloud computing, such as containerization and serverless computing
- Strategies, tasks, challenges, and risks in cloud sourcing
- AI cloud services
- Sustainability and resource consumption of cloud computing versus on-premises computing
Recommended specialist literature
- Erl, T., Monroy, E.: Cloud Computing: Concepts, Technology & Architecture. 2013
- Rafaels, R.: Cloud Computing: 2023
- Jackson, K., Goessling, S.: Architecting Cloud Computing Solutions: Build cloud strategies that align technology and economics while effectively managing risk. 2018
- Rafaels, R.: Cloud Computing: 2023
- Jackson, K., Goessling, S.: Architecting Cloud Computing Solutions: Build cloud strategies that align technology and economics while effectively managing risk. 2018
Assessment methods and criteria
Seminar thesis
Language
German
Number of ECTS credits awarded
6
Semester hours per week
Planned teaching and learning method
Lecture, group work, presentation, and discussion of assignments
Semester/trimester in which the course/module is offered
2