Network Simulation 2022w [NwSim 2022w]
(1/1/0) INF-04-FG-SOI, INF-B-510, INF-B-520, INF-B-530, INF-B-540, INF-BAS1, INF-BI-1, IST-05-FG-SOI, Winter 2022/2023
- ⏰ Time and Date: Tuesdays, 2. DS
- 🟢 Start: 1st week of teaching period
- 📦 Format: 🎙️ web meeting, 📁 slide/sheet download, 💬 chat
- 👋 Web meeting links: see section “Web Meeting Links”
- 🧰 Prerequisites: see section “Prerequisites”
- 💬 Questions? Comments? Join the discussion in our Matrix Room #nsm-course-nwsim:tu-dresden.de (reachable from the TU Dresden Matrix server)
Contents
Studying hypotheses for novel networked systems often requires rigorous performance evaluation. Oftentimes, modern – and particularly wireless – networks are too complex to be studied using mathematical models alone. Physical testing (e.g., in the form of field operational tests) would often be prohibitively expensive – or, in the case of as-of-yet theorized techniques, impossible. Thus, the only feasible option is a computer simulation. This course will cover the basics of network simulation with a focus on discrete event simulation. We will cover all steps of how to conduct a simulation study, from modeling, to implementation, to evaluation.
Prerequisites
This class may have substantial online components. To be able to join, you must be able to make use of
- your university e-mail mailbox, reading its messages daily
(e.g., by configuring it to forward to your private mailbox) - OPAL and associated services, reading its messages daily
(e.g., by configuring e-mail notifications) - web chat systems, particularly the TU Dresden Matrix server
- web video conferencing systems, particularly via BigBlueButton (Test Room)
- a virtual machine, e.g., using Oracle VM VirtualBox
Before enrolling, please try these out and contact us if you do not fulfill these requirements.
Beyond this, there are no formal prerequisites for joining. Still, certain background knowledge is not taught in this course, but assumed for all of lecture, labs, and exams.
- For the labs, simulations will be designed, written (in C++), and run (on Linux systems). For this, both programming and computer skills are essential.
Learning Outcome
See above.
General Information / Methods
This course consists of lectures and labs. The lecture covers theoretical parts of the course, the labs cover practical parts.
This course will be held in English (German, if universally preferred) and all the course material is available in English. The teaching platform for this course is OPAL.
For participation, two alternatives will be offered in parallel:
- All slides along with written commentary will be made available online for download and asynchronous learning. Links will be published here.
- All slides will be presented in a weekly interactive live stream for synchronous learning. The streaming platform is the TU Dresden BigBlueButton instance, with Zoom as a fall-back. Times and dates as well as links will be published here.
Questions? Comments? Join the discussion in our Matrix Room #nsm-course-nwsim:tu-dresden.de (reachable from the TU Dresden Matrix server) or add a post to our OPAL forum!
Exams
Oral examination (by appointment).
Option of written exam if 32 participants or more where covered by degree program regulations.
If you want to get a grade, please pre-register the exam with us in the first two weeks of lecture. This is in addition to the regular exam registration you will need to do later in the semester. See the organizational slide deck for details.
Instructors
- Lecture: Christoph Sommer
- Labs: Christoph Sommer
Timeline
For timeline information, see both the section “In a nutshell” above and the slide deck “Organization” below.
Web Meeting Links
Web Meetings are taking place every Tuesday. In case of technical difficulties, please check the Matrix room.
- Links will be published here
Slides
- TBD
- more: see OPAL
Sheets
- TBD
- more: see OPAL
Literature
-
Averill M. Law, Simulation, Modeling and Analysis, ed. 4, Singapore, Singapore, McGraw-Hill, 2007. [BibTeX, Details...]
-
Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers and Keying Ye, Probability and Statistics for Engineers and Scientists, ed. 9 (international), Pearson, 2012. [BibTeX, Details...]