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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.

BI-VDC.21 Virtualization and Data Centers Extent of teaching: 2P+2C
Instructor: Kašpar J. Completion: Z,ZK
Department: 18104 Credits: 5 Semester: L

Annotation:
The aim of the course is to familiarize students with technology basis of cloud computer systems. It shows principles and techniques used in design and implementation of data center infrastructure, such as various kinds of virtualization and high availability of servers, storages, and software layers. The course guides through data center technologies from private to public and hybrid clouds. Student learn current trends in the architecture of IT infrastructure and its configuration for classic and cloud applications. Students will understand the design, validation, and operation of complex infrastructures for modern applications with respect to scalability and protection against overloads, outages, and data losses.

Lecture syllabus:
1. Virtualization principles, scaling and high availability
2. Data centers: architectures and technologies
3. Data centers: CPU and server virtualization
4. Virtual machine principles
5. Data centers: server virtualization 2
6. Storage architecture and technologies
7. Storage virtualization
8. Instruction set emulation, OS virtualization
9. High availability principles
10. High availability system architectures
11. Distributed Storage for cloud services.
12. Cloud service principles

Seminar syllabus:
1. Data storage: storage configuration.
2. Virtualization: containers. Project assignment.
3. Data storage: advanced methods of data distribution and protection. Project consultations.
4. Data storage: SAN and data flow.
5. Virtualization: VirtualBox, VMware Player.
6. The first project checkpoint, consultations.
7. Virtualization: Hyper-V.
8. Virtualization: KVM and XEN.
9. The second project checkpoint, consultations.
10. Virtualization: ISA emulation.
11. Virtualization: OS emulation.
12. Project presentations.

Literature:
1. Li X.-E. : Advanced Design and Implementation of Virtual Machines. CRC Press, 2016. ISBN 978-1466582606.
2. Lowe S.D., Davis D.M., Green J. : Building a Modern Data Center: Principles and Strategies of Design. ActualTech Media, 2016. ISBN B01ANYBGC8.
3. Portnoy M. : Virtualization Essentials (2nd Edition). Cybex, 2016. ISBN 978-1119267720.
4. Khan S.U., Zomaya A.Y. : Handbook on Data Centers. Springer, 2015. ISBN 978-1-4939-2092-1.
5. Geng H. : Data Center Handbook. John Wiley & Sons, 2014. ISBN 978-1118436639.

Requirements:
Common user-level knowledge of operating systems and computer architecture.

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
BI-MI.21 Business Informatics 2021 (In Czech) V 4
BI-SI.21 Software Engineering 2021 (in Czech) V 4
BI-PI.21 Computer Engineering 2021 (in Czech) V 4
BI-IB.21 Information Security 2021 (in Czech) V 4
BI-PV.21 Computer Systems and Virtualization 2021 (in Czech) PS 4
BI-TI.21 Computer Science 2021 (in Czech) V 4
BI-PS.21 Computer Networks and Internet 2021 (in Czech) PS 4
BI-WI.21 Web Engineering 2021 (in Czech) V 4
BI-SPOL.21 Unspecified Branch/Specialisation of Study VO 4
BI-PS.21 Computer Networks and Internet 2021 (in Czech) V 4
BI-UI.21 Artificial Intelligence 2021 (in Czech) V 4
BI-PG.21 Computer Graphics 2021 (in Czech) V 4


Page updated 28. 3. 2024, semester: Z/2023-4, L/2019-20, L/2022-3, Z/2019-20, Z/2022-3, L/2020-1, L/2023-4, Z/2020-1, Z,L/2021-2, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška