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This entry is from Winter semester 2022/23 and might be obsolete. You can find a current equivalent here.

CS 514 — Cloud Computing
(dt. Cloud Computing)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
workload		 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 or written examination
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Business Informatics.
Duration,
frequency		 One semester,
irregular
Person in charge of the module's outline Prof. Dr. Bernd Freisleben

Contents

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

  • Learn the basic concepts of cloud computing,
  • Creating software that runs in the cloud,
  • Designing cloud infrastructures and tools,
  • Practice of scientific working methods (recognition, formulation, solving problems, training of abstraction skills),
  • Training of oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.

Prerequisites

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.


Applicability

Module imported from M.Sc. Business Informatics.

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

  • B.Sc. Computer Science
  • B.Sc. Business Informatics
  • 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. Computer Science, this module can be attended in the study area Specialization Modules in Computer Science.

The module is assigned to Practical Computer Science. Further information on eligibility can be found in the description of the study area.


Recommended Reading

  • 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, 2010
  • 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 2022/23. 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.