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Virtualization and Cloud Computing

NIE-VCC
Computer Science and ICT, Data, AI

About this course

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).

Learning outcomes

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).

Course requirements

No prerecvisities knowledge is required.

Resources

  • 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.

Activities

Virtualization, virtual machines, servers, data centers, infrastructure, cloud computing, automated management, containerization, orchestration

Additional information

  • Credits
    ECTS 5
  • Contact hours per week
    12
  • Instructors
    Ing. Fesl Jan Ph.D., prof. Ing. Tvrdík Pavel CSc., Ing. Vondra Tomáš Ph.D.
  • Mode of instruction
    Hybrid
If anything remains unclear, please check the FAQ of CTU (Czech Republic).

Offering(s)

  • Start date

    17 February 2025

    • Ends
      21 September 2025
    • Term *
      Summer 2024/2025
    • Instruction language
      English
    Enrolment period closed
These offerings are valid for students of TUM (Germany)