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Modeling and Simulation of Networks and Distributed Systems

Modeling and Simulation of Networks and Distributed Systems
type: Lecture links:
chair: FB Prof. Hartenstein
Fakultät für Informatik
semester: Summer term 2010
place: Room 217 (2nd floor)
Building 20.21 Rechenzentrum
time: Thursday, 11:30 a.m.-1:00 p.m., weekly
04-15-2010 - 07-16-2010
start: 15.04.2010
lecturer: Professor Hannes Hartenstein
Tessa Tielert
Jens Mittag
sws: 2
ects: 4
lv-no.: 24669
exam: Remark: Exam regulations will be extended and updated soon.
  • Educational program Informatik:
    • Diploma: The lecture can be examined as oral block exam in combination with lectures of the graduate course telematics (Vertiefungsfach 12: Telematik). Further information can be found at oral exams.
    • Bachelor/Master: examination as single oral exam.
  • In the educational program for Informationswirtschaft: examination as single oral exam.
  • The practical course can be examined in combination with the lecture; alternatively, students can get a certificate of attendance (Schein).

 

information:
  • Basics in computer networks, according to the lectures Kommunikation und Datenhaltung and Telematik are required. Additionally the Lecture Wahrscheinlichkeitstheorie und Statistik is required.
  • Attending the associated practical course is recommended.
  • The lecture can be attended independently from the practical course.
  • Attending the associated lecture is obligatory for the practical course.

The simulation of networks and distributed systems is a means to analyze and evaluate protocols in a quick and cost-efficient way and is therefore a valuable tool in the research of networks and distributed systems. While analytical approaches are often challenged by the complexity of scenarios and field tests are challenged by a high hardware configuration effort and resulting costs, simulations allow for the efficient investigation of the parameter space regarding network topologies, communication patterns and dependencies to other protocols. However, simulation results are only of relevance if the modeling and evaluation  has been done accurately. Therefore, the lecture provides the required basics in mathematics and algorithms,  practical experience in the use of simulators and simulation tools as well as an illustration of how simulations can be applied to answer recent research questions,e.g. in the field of vehicular networks or social networks.