Cloud Services (5 cr)
01.05.2023 - 14.09.2023
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
Mode of delivery
Engineering and Business
15 - 35
- Degree Programme in Business Information Technology
- Ali Khan
PTIETS21swisPTIETS21 Software Development and Information Systems
- 04.09.2023 13:00 - 16:00, Cloud Services TT00CD87-3001
- 11.09.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
- 18.09.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
- 25.09.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
- 02.10.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
- 11.10.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
- 27.10.2023 09:00 - 12:00, Cloud Services TT00CD87-3001
- 30.10.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
- 06.11.2023 10:00 - 12:00, Cloud Services TT00CD87-3001
- 13.11.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
- 20.11.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
- 27.11.2023 12:00 - 15:00, Cloud Services TT00CD87-3001
After completing the course, the student can:
Describe what Cloud Services are, how they affect business and which new opportunities it may enable.
Describe use cases and benefits of cloud services,
Describe SAAS, PAAS, IAAS.
Use some cloud services platforms.
Develops a solution that utilizes cloud services.
Introduction to cloud services
Software as a service (SAAS)
Platform as a service (PAAS)
Infrastructure as a service (IAAS)
Virtual machines and containers
Security of cloud services
Task-specific material to be announced separately in Its Learning
- Weekly face-to-face meetings with lecture teaching and small group work
- Learning by doing and experimenting (exercise tasks, project work, information search)
- Small group work and peer learning
- Self-study material
- Teacher guidance and examples
FLIP classrooms and learning by doing
Ask the teacher about possible alternative methods of execution
The course content is divided into four learning objectives(CLOs):
CLO1 Analyze classic data centers and cloud data center solutions.
Introduction to Cloud Computing
1.1 Understand the limitations of traditional computing and evolution of cloud computing
1.2 Understand the concepts of Cluster, Grid and Cloud Computing, its benefits and challenges
Cloud Computing Models and Services
1.3 Explore the standard cloud model, cloud deployment and service delivery models
1.4 Understand service abstraction
Resource Virtualization and Pooling
1.5 Implement physical computing resources virtualization
1.6 Implement machine, server level and operating system virtualization
1.7 Understand resource pooling, sharing and resource provisioning
CLO2 Design a cloud data center based on specific technical requirements.
Resource Virtualization and Pooling
2.1 Implement physical computing resources virtualization
2.2 Implement machine, server level and operating system virtualization
Scaling and Capacity Planning
2.3 Understand the foundation of cloud scaling
2.4 Explore scaling strategies and implement scalable applications
2.5 Explore approaches for capacity planning
2.6 Explore the goals and categories of load balancing. Explore parameters for consideration.
File System and Storage
2.7 Understand the need for high performance processing and Big Data
2.8 Explore storage deployment models and differentiate various storage types
CLO3 Discuss the need for security, reliability and legal compliance of a cloud data center.
3.1 Explore database models
3.2 Implement relational and non-relational database as a service
Cloud Computing Security
3.3 Understand the threats to cloud security
3.5 Explore and develop a cloud security model
3.6 Understand Trusted Cloud Computing
Privacy and Compliance
3.7 Explore key privacy concerns in the cloud
3.8 Differentiate security vs. privacy
CLO4 Design strategies for the implementation of effective cloud solutions to support business requirements.
Content Delivery Model
4.1 Understand and explore content delivery network models in the cloud
Portability and Interoperability
4.2 Explore portability and interoperability scenarios
4.3 Understand machine imaging
4.4 Differentiate virtual machine and virtual appliance
4.5 Understand cloud service life cycle
4.6 Understand asset management in the cloud
4.7 Explore cloud service management
4.8 Develop disaster recovery strategies
Course material and assignments in Its Learning.
Assessment methods and criteria
9 personal assignments/Labs: 90 points
Presentation demonstration of assignments: 10 points.
The assignments must be returned by the deadline to get the points. The assignments returned after the deadline will give you only half of the points.
The student must be present in the demos (on the lectures where the personal assignments are checked and presented).
The grading scale (points -> grade):
40 points -> 1
55 points -> 2
70 points -> 3
80 points -> 4
90 points -> 5