Latency and Resilience-aware Networking
(Third Party Funds Group – Sub project)
Overall project: Cyber-Physical Networking (CPN)
Start date: 1. January 2016
End date: 31. December 2019
Funding source: DFG / Schwerpunktprogramm (SPP)
The poject develops transport channels for cyber-physical networks. Such channels need to be latency- and resilience-aware; i.e. the latency as seen by the application must be predictable and in certain limits, e.g. by balancing latency and resilience, be guaranteed. This is only possible by an innovative transport protocol stack and an appropriate fundament of operating system and low level networking support. Thereto the current proposal unites the disciplines Operating Systems / Real-Time Processing and Telecommunications / Information- Theory.
Project target is the evolution of the PRRT (predictably reliable real-time transport) transport protocol stack towards a highly efficient multi-hop-protocol with loss domain separation. This is enabled by an interdisciplinary co-development with a latency-aware operating system kernel incl. wait-free synchronisation and the corresponding low level networking components (POSE, ``predictable operating system executive''). The statistical properties of the entire system (RNA, ``reliable networking atom'') shall be optimised and documented.
A software-defined networking testbed for validation of the system in a real-world wide area network scenario is available. The developed components will be introduced during the workshops organised by the priority programme Cyber- physical Networking and will be made available to other projects during the entire run-time of the priority programme.
X-Lap: A Systems Approach for Cross-Layer Profiling and Latency Analysis for Cyber-Physical Networks
The 15th International Workshop on Real-Time Networks (RTN '17) (Dubrovnic, Croatia, 27. June 2017)
In: Proceedings of the 15th International Workshop on Real-Time Networks (RTN '17) 2017
URL: https://www4.cs.fau.de/Publications/2017/reif_17_rtn.pdf , , , , :
Earl: Energy-Aware Reconfigurable Locks
In: ACM SIGBED Review 17 (2020), p. 24-29
URL: https://www4.cs.fau.de/Publications/2019/reif_19_ewili.pdf , , , , , :