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IK2227 Network Systems with Edge or Cloud Datacenters 7.5 credits

About course offering

For course offering

Spring 2025 Start 14 Jan 2025 programme students

Target group

Open to all master's programmes as long as it can be included in your programme.

Part of programme

Master's Programme, Communication Systems, åk 1, ITE, Mandatory

Master's Programme, Communication Systems, åk 1, SMK, Recommended

Master's Programme, Communication Systems, åk 1, TRN, Recommended

Master's Programme, Information and Network Engineering, åk 1, Recommended


P3 (7.5 hp)


14 Jan 2025
16 Mar 2025

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Campus

Number of places

Places are not limited

Planned modular schedule


For course offering

Spring 2025 Start 14 Jan 2025 programme students

Application code



For course offering

Spring 2025 Start 14 Jan 2025 programme students


No information inserted

Course coordinator

No information inserted


No information inserted
Headings with content from the Course syllabus IK2227 (Spring 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • The development of data centre including network speeds, scale, geographic spread, multitenancy, and tongue I/O applications.
  • Increase of data transfer speeds from 1Gbps to 400Gbps and over.
  • Link layer technology for the data center of the next generation with a focus on Ethernet products compared with specialised Infiniband.
  • The complexity of managing networks of geographically dispersed data centers and their related energy consumption aspects.
  • The balance between compact edge data centers and their expansive cloud counterparts, designed to optimize latency.
  • The bases of the software defined the paradigm and protocol-independent programmable networks.
  • Relating the above infrastructure aspects to concrete workloads focusing on new machine learning applications with heavy I/O requirements.
  • How these applications are shaping data center design and operation, pushing the boundaries of what is possible.
  • Aspects of data center networking related to multitenancy, its requirements, and the role of virtualization technologies in mitigating potential disruptions.

Intended learning outcomes

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

  • explain and analyse methods for interconnect networks and end host devices in a data center including emerging aspects of topology, technologies for link layer and protocols
  • explain and analyse methods to operate virtualized multi-tenant networks in data centers.
  • explain and analyse methods and concepts related to programmable networks including aspects of Software-Defined Networking, routing, packet forwarding and congestion control.
  • explain and analyse concepts and applications related to in network computing and support for machine learning applications
  • explain and analyse aspects related to energy efficiency of different data center technology.
  • analyse scientific papers in a critical manner
  • program advanced data center network systems that support massive I/O workload (e.g. machine learning)

in order to

  • gain a comprehensive view of the modern data center evolution and understand its drivers, as well as the challenges ahead
  • gain the skills in data center technology that the industry requires

Literature and preparations

Specific prerequisites

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Recommended prerequisites

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Examination and completion

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

Grading scale

A, B, C, D, E, FX, F


  • PRO1 - Project Assignments, 2.5 credits, grading scale: A, B, C, D, E, FX, F
  • SEM1 - Paper summaries, 2.5 credits, grading scale: P, F
  • TEN1 - Written Exam, 2.5 credits, grading scale: A, B, C, D, E, FX, 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

Knowledge in advanced Internet technique, 7.5 higher education credits, equivalent completed course IK2215.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

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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

Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Supplementary information

Partially overlaps with IK2220.