Researcher & PhD Student
|Telefon||+49 7071 29-70545|
|Telefax||+49 7071 29-5220|
Lehrstuhl für Kommunikationsnetze
Wilhelm-Schickard-Institut für Informatik
Sand 13, 72076 Tübingen
I'm a researcher and PhD student at the Chair of Communication Networks at University of Tübingen. Previously, I studied computer science (Bachelor's and Master's degree 2014-2019) at University of Tübingen.
2014 - 2017
Graduated at University of Tübingen: 1.4
2017 - 2019
Graduated at University of Tübingen: 1.0
Since September 2019
Research assistant at the Department of Computer Science, Chair of Communication Networks, University of Tübingen
Software-Defined Networking (SDN) is an emerging architecture that is dynamic, manageable, cost-effective, and adaptable, making it ideal for the high-bandwidth, dynamic nature of today’s applications. This architecture decouples the network control and forwarding functions enabling the network control to become directly programmable and the underlying infrastructure to be abstracted for applications and network services.
P4 is a programming language for controlling packet forwarding planes in networking devices, such as routers and switches. In contrast to a general purpose language such as C or Python, P4 is a domain-specific language with a number of constructs optimized for network data forwarding.
Network congestion in data networking and queueing theory is the reduced quality of service that occurs when a network node or link is carrying more data than it can handle. Typical effects include queueing delay, packet loss or the blocking of new connections. A consequence of congestion is that an incremental increase in offered load leads either only to a small increase or even a decrease in network throughput.
|M.Sc.||Design and Implementation of a RAP Prototype for the Centralized Network/Distributed User Model in TSN|
|M.Sc.||Implementation and Evaluation of an Alternative Best Effort Traffic Scheduler in the Linux Network Stack|
|B.Sc.||Comparison and Analysis of Data Center Routing with RIFT and OSPF|
KITOS develops concepts for the management of TSN-based networks supported by artificial intelligence (AI).
In the project, the consortium partners develop AI algorithms that give networks the necessary dynamics and reliability for industry 4.0 scenarios and allow users to use them easily and without in-depth network or AI knowledge. Intelligent tools support decision making, allow more efficient use of resources and enable higher performance configurations. For active operation, the network management is secured against failures with AI-supported error detection and adaptation mechanisms.
- D. Merling, S. Lindner, and M. Menth: P4-Based Implementation of BIER and BIER-FRR for Scalable and Resilient Multicast, (preprint), in Journal of Network and Computer Applications (JNCA), vol. 196, Nov. 2020, Elsevier
- S. Lindner, M. Haeberle, F. Heimgaertner, N. Nayak, S. Schildt, D. Grewe, H. Loehr, and M. Menth: P4 In-Network Source Protection for Sensor Failover, preprint, in Prodeedings of the International Workshop on Time-Sensitive and Deterministic Networking (TENSOR), June 2020, Paris, France.
- D. Merling, S. Lindner, and M. Menth: Comparison of Fast-Reroute Mechanisms for BIER-Based IP Multicast, preprint, in Prodeedings of the International Conference on Software Defined Systems, June 2020, Paris, France
|M.Sc.||Design and P4-Based Implementation of Scalable and Resilient BIER and BIER-TE for Large IP Multicast Networks, Master-Thesis, Eberhard Karls University Tübingen, Chair of Communication Networks, March 2019 (pdf)|
|B.Sc.||Performance Evaluation of an Alternative Best Eﬀort Traﬃc Class Oﬀering Loss/Delay Diﬀerentiation, Bachelor-Thesis, Eberhard Karls University Tübingen, Chair of Communication Networks, August 2017|