Main content
CS 530 — Virtual Machines
(dt. Virtuelle Maschinen)
Level, degree of commitment | Specialization module, depends on importing study program |
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 examination (individual examination) or written examination |
Language, Grading |
English,The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science. |
Origin | 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
Students will be able to
- describe and explain the basic concepts of process and system-based virtual machines,
- describe the structure of virtual machines,
- develop components of process-based VMs (such as scheduler, garbage collection, just-in-time compiler),
- explain the methods of system-based VMs (hypervisor, hardware emulation, hardware virtualization, paravirtualization),
- explain optimizations in virtual machines
- present examples of modern research work in the field of VM technology,
- compare 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
The module 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. Computer Science, this module can be attended in the study area Compulsory Elective Modules in Computer Science.
The module can also be used in other study programs (export module).
The module is assigned to Practical 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 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:
- Winter 2016/17
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24
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.