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Projekt Druckansicht

Framework für selbst-fahrende Netze basierend auf Methoden des gegnerischen Entwurfs (ADVISE)

Antragsteller Professor Dr.-Ing. Wolfgang Kellerer, seit 4/2022
Fachliche Zuordnung Sicherheit und Verlässlichkeit, Betriebs-, Kommunikations- und verteilte Systeme
Förderung Förderung von 2020 bis 2024
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 438892507
 
Erstellungsjahr 2024

Zusammenfassung der Projektergebnisse

Communication networks have become a critical infrastructure of our digital society. As most network outages today are due to human errors, the networking community is currently engaged in designing more automated and “self-driving” communication networks that overcome today’s manually managed networks. These networks exploit the flexibilities introduced by emerging software-defined and virtualized communication technologies, to implement more demand-aware networks which meet the stringent requirements of new applications. The ADVISE project contributes toward our fundamental understanding of such self-driving networks, as well as first tools to realize them. To this end, we develop and apply both methods from artificial intelligence and formal approaches (and games) providing formal correctness and performance guarantees. In particular, ADVISE empirically studies the temporal and spatial structure of traffic workloads, and develop models accordingly, which can be used to design and evaluate self-driving networks. We then develop the algorithmic foundations for self-driving networks, leveraging and integrating predictions (as they may come from machine learning (ML) models) with formal frameworks such as competitive analysis and games. For example, this results in online algorithms which not only provide the classic worst-case guarantees, but which also profit from an infused advice which improves their performance in practice where traffic may be more stochastic and predictable then in the worst case. We study and apply our approaches in different use case, in particular, in the context of reconfigurable datacenter networks (RDCNs) and in software-defined radio access networks (SD-RANs).

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