Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Module INF-40-04-M-5

Quantitative Aspects of Distributed Systems (M, 4.0 LP)

Module Identification

Module Number Module Name CP (Effort)
INF-40-04-M-5 Quantitative Aspects of Distributed Systems 4.0 CP (120 h)


CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in SuSe
Level [5] Master (Entry Level)
Language [EN] English
Module Manager
Area of study [INF-VVS] Distributed and Networked Systems
Reference course of study [INF-88.79-SG] M.Sc. Computer Science
Livecycle-State [NORM] Active


Type/SWS Course Number Title Choice in
Presence-Time /
SL SL is
required for exa.
PL CP Sem.
2V+1U INF-40-04-K-5
Quantitative Aspects of Distributed Systems
P 42 h 78 h
ja PL1 4.0 SuSe
  • About [INF-40-04-K-5]: Title: "Quantitative Aspects of Distributed Systems"; Presence-Time: 42 h; Self-Study: 78 h
  • About [INF-40-04-K-5]: The study achievement "[U-Schein] proof of successful participation in the exercise classes (ungraded)" must be obtained.
    • It is a prerequisite for the examination for PL1.

Examination achievement PL1

  • Form of examination: written or oral examination
  • Examination number: 64004 ("Quantitative Aspects of Distributed Systems")
    Type of examination will be announced in the lecture. Duration of the examination: ref. examination regulations.

Evaluation of grades

The grade of the module examination is also the module grade.


  • Introduction and motivation
  • Long-term performance management
    • Network design
    • Traffic modeling
  • Medium-term performance management
    • Traffic Engineering / Routing
    • Content distribution / caching
  • Short-term performance management
    • Dynamics at packet level
    • Packet scheduling

Competencies / intended learning achievements

After successfully completing the module, students will be able to
  • explain basic concepts and procedures of performance management of communication networks on different time scales,
  • explain methods and applications of performance/reliability analysis and traffic engineering,
  • apply measurement and modelling methods for the analysis of communication and computer networks to concrete examples,
  • derive suitable solution methods and to assess the limits of the individual methods,
  • explain the difference between an analytical and simulation-oriented model evaluation,
  • derive and specify appropriate models of complex computer networks and distributed systems,
  • adequately justify the parameterization of models,
  • interpret model results and measurement results correctly,
  • evaluate the limits of the measurement methods and appropriate measures for their optimization,
  • explain suitable procedures for carrying out load measurements under controlled conditions.


J. Schiller: Mobilkommunikation, Pearson Studium, Addison Wesley, 2.Auflage, 2003.

Requirements for attendance of the module (informal)


Requirements for attendance of the module (formal)


References to Module / Module Number [INF-40-04-M-5]

Course of Study Section Choice/Obligation
[WIW-82.176-SG#2009] B.Sc. Business Administration and Engineering specialising in Computer Science (2009) [2009] [Fundamentals] Field of study: Computer Science [WP] Compulsory Elective
[INF-88.79-SG] M.Sc. Computer Science [Specialisation] Specialization 1 [WP] Compulsory Elective
Module-Pool Name
[INF-VVS_Ba_V-MPOOL-4] Specialization Bachelor TA Distributed and Networked Systems
[MV-MB-INF-2022-MPOOL-6] Wahlpflichtmodule M.Sc. Maschinenbau mit angewandter Informatik 2022
[MV-MBINFO-MPOOL-6] Wahlpflichtmodule Maschinenbau mit angewandter Informatik