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Networks are in a constant state of change. How to update them consistently?

Since the recent rise of Software-Defined Networking, computer networks have become programmable. Hence, network operators can change, e.g., routing behavior on the fly, all from the (comfortable) viewpoint of a central point of control. Such techniques allow to optimize the network's performance under different workloads and use-cases.

However, a computer network consists of many distributed components, sometimes even on the other side of the globe. Some parts of them can take longer to update their behavior, some might get conflicting commands – which can lead to inconsistent behavior, causing, e.g., congestion, packet drops, etc.

In this thesis, you will investigate causes and solutions to such inconsistencies. Possible research directions include:

  • theory/algorithms
  • machine learning
  • simulations and implementations

If you are interested, contact us and we can discuss possible directions for your thesis/project.

To get a feeling for some past research on these topics (non-exhaustive), feel free to look at the following:

This topic is available at all levels.


Change the network topology on the fly: lasers, mirrors, antennas

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Programmable matter

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Bitcoin from a networking perspective

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Distributed systems with cheap machines

amoebot transformers

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What to do when your network fails? Fast local failover mechanisms

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Distributed proofs

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