Energy-, Latency- And Resilience-aware Networking (e.LARN)

 

This project is part of the DFG (Deutsche Forschungsgemeinschaft) priority programme SPP 1914 “Cyber-Physical Networking”. It started in October 2016 and is carried out in cooperation with Department of Computer Science 4 at Friedrich-Alexander-Universität Erlangen-Nürnberg.

After successful application for the second funding phase of the SPP, this continuation project of LARN started in January 2020.

 

Vision

We propose to develop transport channels for distributed cyber-physical systems. Such channels need to be energy-, 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. At the same time, the energy aspects must be considered, as CPS devices often have limited access to power sources. Achieving these awareness-properties is only possible by an innovative transport protocol stack and an appropriate fundament of operating system and low level networking support. Thereto the project unites the disciplines Operating Systems / Real-Time Processing and Telecommunications / Information-Theory.

Reliable Networking Atom (RNA) Architecture

 

Project target is the evolution of the PRRT (predictably reliable real-time transport) transport protocol stack towards a highly efficient multi-hop-protocol with transparent transmission segmentation. 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. The statistical properties of the entire system (RNA, “reliable networking atom”) shall be optimised and documented.

software-defined networking testbed for validation of the system in a real-world wide area network scenario is available. The developed components are introduced during the workshops organised by the priority programme SPP1914 “Cyber-physical Networking” and is made available to other projects during the entire run-time of the priority programme.

 

Objectives

  • Develop a latency- and resilience-aware atomic unit for cyber-physical networks.
  • Optimise the cross-layer communication while maintaining separability.
  • Validate the approach in theory and experiments.
  • Document the statistics of the predictable quality of communication (QoC).
 

Solutions & Results

 

Activities

Publications

The publications can also be found on Google Scholar.

2019

  • Reif, Stefan; Raffeck, Phillip; Janker, Heiko; Gerhorst, Luis; Hönig, Timo; Schröder-Preikschat, Wolfgang: “Earl: Energy-Aware Reconfigurable Locks”, Proceedings of the 9th Embedded Operating Systems Workshop (EWiLi), New York City, New York, USA, October 2019
  • Schmidt, Andreas; Reif, Stefan; Gil Pereira, Pablo; Hönig, Timo; Herfet, Thorsten; Schröder-Preikschat, Wolfgang: “Cross-layer Pacing for Predictably Low Latency”, 6th International IEEE Workshop on Ultra-Low Latency in Wireless Networks (ULLWN), Paris, France, April 2019
  • Hönig, Timo; Herzog, Benedict; Schröder-Preikschat, Wolfgang: “Energy-Demand Estimation of Embedded Devices Using Deep Artificial Neural Networks”, 34th ACM/SIGAPP Symposium on Applied Computing (SAC), Limassol, Cyprus, April 2019
  • Gallenmüller, Sebastian; Glebke, René; Günther, Stephan; Hauser, Eric; Leclaire, Maurice; Reif, Stefan; Rüth, Jan; Schmidt, Andreas; Carle, Georg; Herfet, Thorsten; Schröder-Preikschat, Wolfgang; Wehrle, Klaus: “Enabling Wireless Network Support for Gain Scheduled Control“. 2nd International Workshop on Edge Systems, Analytics and Networking (EdgeSys), Dresden, Germany, March 2019
  • Reif, Stefan; Gerhorst, Luis; Bender, Kilian; Hönig, Timo: “Towards Low-Jitter and Energy-Efficient Data Processing in Cyber-Physical Information Systems”, 52nd Hawaii International Conference on System Sciences (HICCS), Maui, Hawaii, USA, January 2019

2018

2017

2016

Student Projects & Theses

  • Ashkan Taslimi, “Deep Adaptive Hybrid Error Coding”, Master Thesis
  • Marlene Böhmer, “Real-time Video Streaming and Control for Drones in Cyber-Physical Networks”, Master Thesis
  • Kai Vogelgesang, “Fast Transparent Transmission Segmentation with Kernel-Bypass Networking”, Bachelor Thesis, April 2019
  • Lukas Bard, “Network Protocol for Video Transport in Cyber-Physical Systems”, Master Thesis, November 2017
  • Daniel Birtel, “Transparent Transmission Segmentation for Multimedia Applications”, Master Thesis, January 2017
  • Philipp Tennigkeit, “NEAT – Network Experiment Automation Tool”, Project


People and Partners

Timo Hönig (FAU), Adwait Datar (TUHH), Andreas Schmidt (SIC), Florian Rosenthal (KIT), Stefan Reif (FAU), Thorsten Herfet (SIC) at the “Hands-On Cyber-Physical Networks” BarCamp of the DFG SPP1914 Winter School, January 2018

 

BarCamp Aachen Contributors (EdgeSys2019 Paper)

  • Sebastian Gallenmüller, MSc. (Technical University of Munich)
  • René Glebke, MSc. (RWTH Aachen University)
  • Dr.-Ing. Stephan Günther (Technical University of Munich)
  • Eric Hauser, BSc. (Technical University of Munich)
  • Maurice Leclaire, MSc. (Technical University of Munich)
  • Jan Rüth, MSc. (RWTH Aachen University)

BarCamp “Hands-On Cyber-Physical Networking” Contributors

  • Adwait Datar, MSc. (TUHH)
  • Christine Kloock, MSc. (TUHH)
  • Florian Rosenthal, MSc. (KIT)