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CS 514 — Cloud Computing
(dt. Cloud Computing)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
Lecture (2 SWS), recitation class (2 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements
6 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Oral examination (individual examination) or written examination
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Business Informatics.
One semester,
Person in charge of the module's outline Prof. Dr. Bernd Freisleben


Cloud computing refers to the possibility of using distributed hardware and software resources provided by a provider on the Internet on demand and paying for them depending on their use.

The lecture presents concepts (e.g. ''everything-as-a-service'', virtualization) of cloud computing, as well as some of the cloud architectures, cloud offerings, programming models, and software tools and applications developed in recent years. Economic considerations, as well as opportunities and risks of cloud computing are explained. One focus of the lecture is the practical testing of the concepts taught in the form of programming exercises.

Qualification Goals

Students will

  • Know the basic concepts of cloud computing,
  • can create software that runs in the cloud,
  • are able to conceptualize cloud infrastructures and tools,
  • are able to apply scientific work methods in independently identifying, formulating and solving problems,
  • Are able to speak freely about scientific content, both in front of an audience and in a discussion.


None. The competences taught in the following modules are recommended: Object-oriented Programming, either Algorithms and Data Structures or Practical Informatics II: Data Structures and Algorithms for Pre-Service-Teachers, Operating Systems, Computer Networks, Distributed Systems.


Module imported from M.Sc. Business Informatics.

It can be attended at FB12 in study program(s)

  • B.Sc. Computer Science
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Informatics
  • M.Sc. Business Mathematics
  • LAaG Computer Science

When studying M.Sc. Mathematics, this module can be attended in the study area Profile Area Computer Science.

Recommended Reading

  • D. Comer: The Cloud Computing Book, CRC Preis, 2021
  • T. erl, R. Puccini, M.Zaigham: Cloud Computing: Concepts, Technology & Architecture, Pearson, 2013
  • C. Baun, M. Kunze, J. Nimis, S. Tai: Cloud Computing: Web-basierte dynamische IT-Services, Springer-Verlag, 2011
  • N. Antonopoulos, L. Gillam: Cloud Computing: Principles, Systems and Applications, Springer-Verlag, 2017
  • R. Buyya, J. Broberg, A. Goscinski: Cloud Computing: Principles and Paradigms, John Wiley & Sons, 2011
  • K. Hwang, J. Dongarra, G. Fox: Distributed and Cloud Computing, Morgan Kaufmann, 2011

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.