Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Module INF-42-51-M-6

Stochastic Analysis of Distributed Systems (M, 4.0 LP)

Module Identification

Module Number Module Name CP (Effort)
INF-42-51-M-6 Stochastic Analysis of Distributed Systems 4.0 CP (120 h)

Basedata

CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. irreg.
Level [6] Master (General)
Language [DE/EN] German or English as required
Module Manager
Lecturers
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

Notice

Former title: "Performance Analysis of Distributed Systems"

Courses

Type/SWS Course Number Title Choice in
Module-Part
Presence-Time /
Self-Study
SL SL is
required for exa.
PL CP Sem.
2V+1U INF-42-51-K-6
Stochastic Analysis of Distributed Systems
P 42 h 78 h
U-Schein
ja PL1 4.0 irreg.
  • About [INF-42-51-K-6]: Title: "Stochastic Analysis of Distributed Systems"; Presence-Time: 42 h; Self-Study: 78 h
  • About [INF-42-51-K-6]: 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: oral examination (20-60 Min.)
  • Examination Frequency: Examination only within the course
  • Examination number: 64258 ("Stochastic Analysis of Distributed Systems")

Evaluation of grades

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


Contents

The deterministic network calculus as method for worst-case analysis of distributed systems
  • abstractions of arrival and service processes
  • calculation of performance guarantees
  • end-to-end analysis
  • network analysis
  • tool support

Competencies / intended learning achievements

Upon successful completion of the module, students will be able to
  • model complex, distributed systems in relation to performance,
  • adequately describe the stochastic properties of distributed systems
  • perform performance analyses of existing systems,
  • analyze the challenges in the performance dimensioning of planned systems
  • and to justify the stochastic properties of the system to be fulfilled.

Literature

  • J.Y. Le Boudec and P. Thiran. Network Calculus - A Theory of Deterministic Queuing Systems for the Internet. Series: Lecture Notes in Computer Science, Volume 2050, 2001.
  • C.S.Chang. Performance Guarantees in Communication Networks, Springer Verlag, 2000.

Requirements for attendance of the module (informal)

None

Requirements for attendance of the module (formal)

None

References to Module / Module Number [INF-42-51-M-6]

Course of Study Section Choice/Obligation
[INF-88.79-SG] M.Sc. Computer Science [Specialisation] Specialization 1 [WP] Compulsory Elective