Work was conducted in three main directions: Research, Dissemination, and Exploitation.
In the research direction, the Fellow delivered two conference publications and one pre-print publication to date, with additional three forthcoming conference manuscripts. He was appointed External Reviewer to the Springer "Journal of Supercomputing". He was invited to serve as a Program Committee member at the "Testing Distributed Internet of Things Systems" (TDIS) workshop. He was invited by the MedPerf Task Force of the MLCommons Association to provide expert advice on systems testing for an open framework for benchmarking machine learning in the medical domain. To transfer knowledge, he conducted four presentations and co-organized two workshops for researchers, contributed to three internal projects, and provided mentoring for early career researchers. Finally, the Fellow spearheaded the preparation of a RIA proposal for the EU, driving the effort from building the consortium to the final submission.
For dissemination, the Fellow adopted Open Science practices; Publications drafts are made openly available on Zenodo, and the source code Frisbee platform is made available on GitHub (
https://github.com/CARV-ICS-FORTH/frisbee(odnośnik otworzy się w nowym oknie)) under Apache-2.0 License, accompanied by a DOI issued by Zenodo. Following the Fellow presented Frisbee in EuroCC webinars and high-profile open-source summits, both at the national (FOSSCOMM) and international level (FOSDEM). Finally, the Fellow joined the Marie Curie Alumni Association (MCAA) and performed as an MSCA ambassador at 2 European Researcher's Night events, demystifying the concepts of the Internet of Things and discussing with more than 300 high-school students the role of the researcher in today’s society.
Regarding exploitation, the Fellow's actions aimed at:
1. Engaging early adopters to validate Frisbee in real-life scenarios.
2. Finding resources for further research and development.
3. Commercializing the platform and the scenarios.
It is important to note, that through Ether and the project results, the Fellow has been gained visibility and has started to collaborate with corporate leaders in Telecommunications, Cloud storage, and Federated Learning. In addition, he incorporated the Ether concepts in two RIA proposals, aiming to extend Frisbee towards a tool for reproducible systems deployment and testing of complex, distributed IoT and datacenter applications. Finally, the Fellow has been in contact with investors to establish offerings, funding schemes, and viable routes for the commercialization of Ether results.
