| 2023 | NOMS | A Deep Learning Approach for Root Cause Analysis in Real-Time IIoT Edge Networks. | Ahsan Saleem, Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini |
| 2023 | WWW | DDPC: Automated Data-Driven Power-Performance Controller Design on-the-fly for Latency-sensitive Web Services. | Mehmet Savasci, Ahmed Ali-Eldin, Johan Eker, Anders Robertsson, Prashant J. Shenoy |
| 2022 | UCC | A Proactive Cloud Application Auto-Scaler using Reinforcement Learning. | Albin Heimerson, Johan Eker, Karl-Erik rzn |
| 2020 | UCC | HoloScale: horizontal and vertical scaling of cloud resources. | Victor Millnert, Johan Eker |
| 2019 | ECRTS | End-To-End Deadlines over Dynamic Topologies. | Victor Millnert, Johan Eker, Enrico Bini |
| 2018 | GLOBECOM | Achieving Predictable and Low End-to-End Latency for a Network of Smart Services. | Victor Millnert, Johan Eker, Enrico Bini |
| 2013 | MEMOCODE | Automated extraction of scenario sequences from disciplined dataflow networks. | Firew Siyoum, Marc Geilen, Johan Eker, Carl von Platen, Henk Corporaal |
| 2012 | ACSSC | Dataflow programming in CAL - balancing expressiveness, analyzability, and implementability. | Johan Eker, Jrn W. Janneck |
| 2010 | ISCAS | A reconfigurable OFDM inner receiver implemented in the CAL dataflow language. | Thomas Olsson, Anders Carlsson, Leif R. Wilhelmsson, Johan Eker, Carl von Platen, Isael Diaz |
| 2003 | ECRTS | The Control Server: A Computational Model for Real-Time Control Tasks. | Anton Cervin, Johan Eker |
| 1999 | RTCSA | A Matlab Toolbox for Real-Time and Control Systems Co-Design. | Johan Eker, Anton Cervin |