In June 2026, our colleagues Attila Kertész and András Márkus from FrontEndArt Software, together with Yiannis Verginadis from ICCS NTUA, represented the Swarmchestrate project at IEEE ICE 2026, the International Conference on Engineering, Technology, and Innovation, held in Oporto, Portugal, between 22–25 June 2026. ICE is a flagship IEEE event that brings together researchers, engineers, and innovators to explore the intersection of technology, management, and societal impact. Our team participated in the Special Session 07: Dynamic Intelligence and Connectivity in the Edge–Cloud Continuum, contributing to discussions on the future of AI-driven orchestration and next-generation edge–cloud systems, and did so with not one, but two paper presentations.
In the first paper, we presented research on a smarter way to build and manage distributed applications running on resource-constrained devices, for example those used in urban environmental monitoring. Rather than waiting for problems to occur and reacting to them, our approach uses simulation and workload forecasting to anticipate changing conditions and adapt proactively. The results show that this strategy keeps applications running smoothly and efficiently, even under heavy load and thermal stress, while minimising unnecessary disruptions. This work is a strong example of how Swarmchestrate is advancing intelligent, resilient orchestration for real-world edge deployments.
The second paper tackled a critical challenge in distributed edge computing: trust. As applications span across cloud, fog, and edge nodes —often exchanging sensitive data and management instructions— ensuring that every component and actor in the system can be verified and trusted becomes essential. Our work introduces a holistic trust layer for the Swarmchestrate platform, built on blockchain-enabled decentralised identifiers that authenticate and authorise access to data across a peer-to-peer network of agents. Crucially, trust is not static: real-time telemetry data is used to continuously assess the reputation of the entities involved, making the system adaptive and robust. This contribution reinforces Swarmchestrate’s vision of a secure, decentralised orchestration framework fit for the dynamic and heterogeneous environments of the cloud-to-edge continuum.