PhD Thesis Offe (M/F)r: Cross-Domain Traffic Regulation in Large-Scale Time-Sensitive Networks.

Job Description

Thesis Subject

Project description:
The goal of the PhD is to investigate, design and evaluate new traffic regulation
mechanisms that scale to a large number of flows and a large traffic rate and to be
deployed at the frontier of several network domains in a large-scale time-sensitive
network.
Among the possible research directions are:
– Investigate approaches for aggregating multiple flows into a compound flow,
where only the compound flow is regulated.
– Investigate new regulation techniques that do not require storing a per-flow state
in memory, possibly by having regulation data written in the packet's header,
implement them on an embedded system to check their scalability.
– Investigate the efficient and scalable configuration of traffic regulators in large-
scale multi-domains networks.
The PhD takes place in the context of the FRONTIER research project (part of the PEPR
Future Networks https://pepr-futurenetworks.fr/). FRONTIER aims at enabling large-
scale time-sensitive networks for the control of large-scale cyber-physical systems such
as smart grids.

Your Work Environment

Background:
Time-sensitive networks are used for safety-critical cyber-physical systems (CPSs) in
vehicles, planes, satellites or power plants. Their significance has been increasing over
the years and they are now used in many more applications, ranging from autonomous
cars, automated manufactures (industry 4.0) to 5G and beyond backbone networks. While
traditional public networks aim at improving the mean service performances (mean
round trip time, mean throughput), time-sensitive networks provide guarantees for the
worst case (e.g. guarantee of a maximal latency, guarantee of no loss, …). Time-sensitive
networks use specific layer-2 technologies from IEEE TSN [TSN] for providing
deterministic latency.
Among these technologies are traffic regulators such as Aynchronous Traffic Shaping.
Traffic regulators force the traffic to conform to a given specification, delaying the packets
if required. They are particularly useful as they remove the burst-cascade effect (the
burstiness of the flows tend to increase along their paths).
Time-sensitive networks control increasingly large and dynamic systems (smart-grid
systems, unmanned air traffic management, public transportation systems). In these
large-scale and often multi-actors networks, traffic regulators are required at each point
that crosses the frontier between two network domains. Yet, the traffic regulators
currently available do not scale to large-scale networks with a large number of different
flows.

Constraints and risks

Not applicable

Compensation and benefits

Compensation

2300 € gross monthly

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

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