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This entry is from Winter semester 2016/17 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): Oral or written examination Examination type: Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks. |
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
Translation is missing. Here is the German original:
Keine. Empfohlen werden die Kompetenzen, die in den Basismodulen der Informatik sowie den Aufbaumodulen Softwaretechnik und Software-Praktikum vermittelt werden.
Applicability
Module imported from M.Sc. Computer Science.
It can be attended at FB12 in study program(s)
When studying M.Sc. Data Science, this module can be attended in the study area Specialization Modules in Computer Science.
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 2016/17. 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.