Building Adaptive Networks with Software Defined Networking
Konstruktion av adaptiva nätverk med SDN-teknologi

EIT185F, 10 credits

Valid from: Autumn 2018
Decided by: Professor Thomas Johansson
Date of establishment: 2019-06-05

General Information

Division: Electrical and Information Technology
Course type: Third-cycle course
Teaching language: English

Aim

The course aims at understanding how software defined networking can be used to both simulate complex networks and to build such networks for systems with high requirements on adaptiveness and management.

Goals

Knowledge and Understanding

For a passing grade the doctoral student must

• Describe the advantages and limitations of using SDN
• Describe the northbound and southbound interfaces and how they are used to define and build an SDN network
• Describe the different network protocols and architectures used in SDN
• Describe the purpose, advantages and disadvantages of current component implementations in SDN architectures
• Describe the trade-offs between various SDN architectures

Competences and Skills

For a passing grade the doctoral student must

• Be able to use the most important tools for controlling and monitoring network traffic
• Be able to design and implement an SDN-network for a specific scenario and use case
• Be able to apply the design choices in order to implement use cases
• Be able to apply state of the art protocols for management of SDN components
• Be able to adapt, extend and implement SDN applications

Judgement and Approach

For a passing grade the doctoral student must

• Be able to discuss specific use cases for SDN and design choices for building the network
• Be able to discuss and present an implemented SDN application and argue for the design choices made
• Be able to discuss the main reasons for using SDN for certain use cases
• Be able to analyze and discuss the advantages and disadvantages of applying SDN for certain use cases compared to non-SDN approaches
• Be able to discuss the interaction of the implemented SDN deployment with other connected systems

Course Contents

The course consists of two main parts. The first part is aimed at understanding the motivation, the underlying technology, the advantages and limitations, and the different tools used to build complex networks using SDN. The second part is a project, where the students identify a problem, formulate it in the context of a use case and implement a software defined network in order to solve the identified problem.

Course Literature

Forskningsartiklar.
Some articles will be handed out, and some will be identified by the students.

Instruction Details

Types of instruction: Seminars, project, self-study literature review. The first half is mainly a literature study and seminars. The second half is a project part consisting of weekly meetings with the course responsible.

Examination Details

Examination formats: Written report, seminars given by participants
Grading scale: Failed, pass
Examiner:

Admission Details

Assumed prior knowledge: Basic knowledge in computer networks, network protocols and Python programming

Further Information

We expect to run the course about every 3 years, when there is enough interest from PhD students. Course coordinator Martin Hell, martin.hell@eit.lth.se

Course Occasion Information

Contact and Other Information

Course coordinators: