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A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

NIE-VCC Virtualization and Cloud Computing Extent of teaching: 2P+1C
Instructor: Fesl J., Vondra T. Completion: Z,ZK
Department: 18104 Credits: 5 Semester: L

Annotation:
Students will gain knowledge of architectures of large computer systems that are used in data centers and computer infrastructure of companies and organizations. They will get acquainted with virtualization principles, tools and technologies that serve to facilitate and automate configuration, testing and monitoring, and to efficiently operate and optimize the performance parameters of modern computer systems. Theoretically and practically, they will get acquainted with containerization as the most effective technology today for the management of complex computer systems and with specific technologies of cloud systems. Finally, they will learn the principles and gain practical skills in the use of modern integration and development tools (Continuous integration and development).

Lecture syllabus:
1. Architectures of servers and distributed computing systems.
2. Principles of virtualization.
3. Virtualization of processor, memory, disk, network.
4. IaaS: principles, OpenStack.
5. IaaS: advanced services and computing load balancing.
6. Scalable disk storage for cloud and NoSQL databases.
7. Virtualization of computer networks.
8. Containerization: principles, planners, allocators, namespaces, legal systems, system containers. Docker and SW distribution.
9. Containerization: orchestration instruments.
10. Containerization: template systems (Kubernetes).
11. PaaS: principles, OpenShift, Cloud Foundry architecture.
12. CI / CD: principles (Gitlab, Jira, Jenkins).
13. CI / CD: container assembly and best practices.

Seminar syllabus:
1. Virtualization, access to infrastructure, VMware and KVM.
2. IaaS: public clouds, working with the cloud as a user
3. IaaS: deployment of OpenStack, working with the cloud in the role of administrator. Assignment of the 1st semester work.
4. Virtual networks in OpenStack. Assignment of 2nd semester work.
5. System containerization, Docker. Assignment of the 3rd semester work.
6. Container orchestration: Kubernetes, PaaS.

Literature:
1. Marinescu, D. C. : Cloud Computing: Theory and Practice (2nd Edition). Morgan Kaufmann, 2017. ISBN 978-0-128-12811-4.
2. Bugnion, E. - Nieh, J. - Tsafrir, D. : Hardware and Software Support for Virtualization. Morgan & Claypool Publishers, 2017. ISBN 1627056939.
3. Rafaels, R. : Cloud Computing (2nd Edition). CreateSpace Independent Publishing Platform, 2018. ISBN 1986726282.
4. San Murugesan, S. - Bojanova, I. (eds.) : Encyclopedia of Cloud Computing. Wiley, 2016. ISBN 978-1-118-82197-8.

Requirements:
No prerecvisities knowledge is required.

The content of this course is a continuation of the bachelor's course Computer Systems Architecture.

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
NIE-TI.21 Computer Science 2021 VO 2
NIE-NPVS.21 Design and Programming of Embedded Systems 2021 V 2
NIE-SI.21 Software Engineering 2021 V 2
NIE-PB.21 Computer Security 2021 V 2
NIE-PSS.21 Computer Systems and Networks 2021 PS 2


Page updated 29. 3. 2024, semester: L/2021-2, Z,L/2023-4, Z/2021-2, Z/2020-1, Z/2019-20, L/2020-1, Z,L/2022-3, L/2019-20, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška