Providing Quality of Service (QoS) to emerging time-sensitive applications such as factory automation, telesurgery, and VR/AR applications is a challenging task [1]. Time Sensitive Networks (TSN) [2] and Deterministic Networks [3] were developed for such applications to guarantee ultra low latency, bounded latency and jitter, and zero congestion loss. The objective of this work is to develop a methodology to guarantee bounded End-to-End (E2E) latency and jitter in large-scale networks.

C++, Expeience with OMNET++, KNowledge of TSN.

Every Operator wants to get the best performance out of their network. Real-time Net-
works are no exception.In this thesis, we consider networks that already exist.Instead
of just evaluating their performance, we want to evaluate whether small changes in the
topology - adding a few links - can change the performance of the network. To be able to
do this, the operator needs full control of the network.Therefore, we consider real-time
networks where this is the case.
The goals of this research internship:
•Include a way of adding links to the topologies
•Find already known heuristics (e.g. from reliability)
•Create a new way of adding links that includes real-time network-specific knowledge,
i.e., the delay on links
Possible Evaluations:
•Evaluate the performance change based on Network Utilization, Current Link Delay,
and Number of Admissions.
•Evaluate performance based on the number links added
•Compared different ways of adding links

Communication Networks must fulfill a strict set of requirements in the Industrial Area. The Networks must fulfill strict latency and bandwidth requirements to allow trouble-free operation. Typically, the industry relies on purpose build solutions that can satisfy the requirements.

Recently, the industry is moving towards using Ethernet-based Networks for their use case. This enables us to use common of the shelf hardware to communicate within the network. However, this hardware still will execute industrial applications and therefore has the same strict requirements as the network. In this project, we consider Linux-based hosts that run the industrial applications. We consider different networking hardware and configurations of the system to see how it affects performance. The goal is to investigate the overhead of the host. 

Your tasks within the project are :

• Measure the Host Latency with different NICs
• Measure the Host Latency with different Hardware Offloads
• Tune, configure, and measure the Linux Scheduler to improve performance

You will gain:

• Experience with Networking Hardware
• Experience with Hardware Measurements 
• Experience with Test Automation

Please send a short intro of yourself with your CV and transcript of records to us. We are looking forward to meeting you.

• Familiarity with Linux Console
• Python
• C (not required, but a plus)