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FEO3330 Network Calculus 10.0 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FEO3330 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

·        Traditional Queuing Theory

Basic analysis of  M/M/1, M/M/1/N and M/G/1 Systems

Erlangs Blocking formula

Queuing networks

Erlangs fixed point equation

Applications

·        Deterministic Network Calculus

(Min,plus)- calculus

System-theoretic approach to deterministic network analysis

Arrival- and service curves

Delay & backlog bounds

Policing and shaping

Pay-burst-only-once

GPS-PGPS equivalence

·        Effective Bandwidth/Capacity Theory

Multiplexing

Effective bandwidth

EBB arrival curves

Effective capacity

Applications

·        Stochastic Network Calculus

Stochastic arrival and service curves

Performance bounds

Concatenation & scaling

MGF-calculus & applications

(Min,x)-calculus & applications

Intended learning outcomes

Students passing the course will have acquired the following skills:

- Model queuing problems in the right framework

- Solve queuing problems with respect to the chosen framework

- Know and explain the current state-of-the-art in network calculus research

- Know and explain the strongest results from network calculus regarding the design of networks

- Address open research problems regarding stochastic queuing networks 

Literature and preparations

Specific prerequisites

The course is self-contained. A solid background in analysis and in stochastics is beneficial. 

Recommended prerequisites

The course is self-contained. A solid background in analysis and in stochastics is beneficial. 

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • EXA1 - Examination, 10.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

Three parts have to be fulfilled to pass the course:

-         Attend all but two lectures (without valid excuse)

-         Reach 75 % of points in each homework assignment. There will be one homework assignment per block, i.e. four homework assignments in total.

-         Pass the research project (turn in a written report, work out presentation and defend findings in a presentation to the group)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Contact

James Gross (jamesgr@kth.se)

Postgraduate course

Postgraduate courses at EECS/Information Science and Engineering