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This entry is from Winter semester 2019/20 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.
Die Wahlmöglichkeit des Moduls ist dadurch beschränkt, dass es der Computer Science zugeordnet ist.
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 2019/20. 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 (no corresponding element)
- 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.