FDD3314 Performance Monitoring of Telecom Clouds and Software-Defined Networks 9.0 credits

Övervakning av moln- och mjukvarubaserade nätverk

Offering and execution

Course offering missing for current semester as well as for previous and coming semesters

Course information

Content and learning outcomes

Course contents *

Software-defined networking.

Network management and supervision.

Troubleshooting in Cloud and SDN

Cloud monitoring and management.

Openflow and Openstack.

Probabilistic network management.

Passive and active network monitoring.

Network tomography.

Centralised and decentralised network management approaches.

Header space analysis.

General methods of error detection and localisation in networks.

Online and offline methods.

Management tools.

Research issues.

Scalability and resource efficiency.

Measurement architectures.

Intended learning outcomes *

After passing the course, the students should be able to:

• present an overview over the main procedures regarding network monitoring within Cloud and SDN management.

• evaluate and discuss the differences between the methods, advantages and disadvantages.

• identify and discuss the most important research challenges concerning network monitoring in Clouds and SDNs.

Course Disposition

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Literature and preparations

Specific prerequisites *

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Recommended prerequisites

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Course compendium that consists of 20 scientific articles in the area of network management and software-defined network.

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 *

    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.

    Opportunity to complete the requirements via supplementary examination

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    Opportunity to raise an approved grade via renewed examination

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    Erwin Laure

    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 web

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    Offered by

    EECS/Computational Science and Technology

    Main field of study *

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    Education cycle *

    Third cycle

    Add-on studies

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    Postgraduate course

    Postgraduate courses at EECS/Computational Science and Technology