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This entry is from Summer semester 2021 and might be obsolete. You can find a current equivalent here.

CS 530 — Virtual Machines
(dt. Virtuelle Maschinen)

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. Computer Science.
Duration,
frequency		 One semester,
each winter semester
Person in charge of the module's outline Prof. Dr. Christoph Bockisch

Contents

It is an ongoing trend to develop process-based virtual machines for modern programming languages that reduce complexity for the programmer by providing managed resources. This also enables dynamic optimizations or program analyses, for example. System-based virtual machines are a related concept. These provide a virtual environment that corresponds to an entire computer system, including hardware and operating system. Several virtual machines can share a physical machine, whereby virtual resources such as memory are separated from each other.


Qualification Goals

  • Describe and explain the basic concepts of process and system virtual machines,
  • Describe the architecture of virtual machines,
  • Development of components of process VMs (such as schedulers, garbage collections, just-in-time compilers),
  • Explain the methods of system VMs (hypervisor, hardware emulation, hardware virtualization, paravirtualization),
  • Explain optimizations in virtual machines,
  • Presentation of exemplary modern research work in the field of VM technology,
  • Comparison of implementation approaches for programming language concepts (code transformation vs. VM support).

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, System Software and Computer Communication, Software Engineering, either Software Lab or Software Lab for Business Informatics.


Applicability

Module imported from M.Sc. Computer Science.

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

When studying M.Sc. Business Mathematics, this module can be attended in the study area Specialization Modules.

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


Recommended Reading

  • Will be announced in the module announcement.



Please note:

This page describes a module according to the latest valid module guide in Summer semester 2021. 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.