Swarmchestrate
Application-level
Swarm-based Orchestration
Across the Cloud-to-Edge Continuum
The ever-growing number of intelligent smart devices collecting huge amounts of data at the edges of the network, makes essential the need for processing this data in a heterogeneous computing environment, that spans across geographic distances, providers, connectivity types and network zones. Swarmchestrate project aims to combine emerging technologies in the domains of Swarm computing, distributed AI, distributed ledger systems and decentralised identity management to create a completely decentralised autonomous and self-organised application management system which supports the processing of large amounts of data generated at the network edges with the help of hyper-distributed and complex applications in the Cloud-to-Edge continuum.
Project Objectives
Develop an application-level decentralised orchestration framework, utilising Swarm-based distributed intelligence
Develop matchmaking algorithms using decentralised AI methods to optimise energy efficiency and effectiveness
Develop a simulation environment based on the novel decentralised orchestration concept of the project
Dynamically create and manage a set of interconnected Swarms across the distributed Cloud-to-Edge infrastructure
Develop trusted, reliable, secure and transparent knowledge management
Implement real-life application demonstrators utilising Swarmchestrate services in realistic scenarios
Duration
3
years
Budget
5.5
million EUR
co-funded by HORIZON EU, the UKRI and NRF Korea
Partners
15
across Europe and Korea
Countries
10
across Europe and Korea
Demonstrators
The Swarmchestrate project will implement four demonstrator applications to illustrate how decentralised orchestration can improve the efficiency of processing large amounts of data in highly distributed scenarios. Each application scenario applies a large number of geographically distributed, data collecting sensors at the network edges which require energy efficient and effective data processing.
Flood Prevention
Parking Space Management
Urban Noise Classification
Digital Twin of Natural Habitat
Swarmchestrate assures that the next generation of tools managing hyper-distributed applications are efficiently supporting application owners and reducing complexity. Our aim is to provide easily applicable solutions for deploying and managing applications in the cloud-to-edge compute continuum to reduce costs and energy utilisation, guarantee deadlines, offer security and trust, and provide fast response times.
Latest News
Standardisation Activities in the Cognitive Computing Continuum
As part of our on-going commitment within the Cognitive Computing Continuum Cluster, Swarmchestrate actively participated in the joint webinar titled "Standardisation Activities in the Cognitive Computing Continuum" held on July 1st, 2025. This webinar was organised...
Swarmchestrate at the 31st IEEE ICE/ITMC
Swarmchestrate was present at the 31st International Conference on Engineering, Technology and Innovation, which took place in UPV Universitat Politècnica de València, Spain. During the Special Session: Cognitive Computing Continuum, on June 16, 2025, Swarmchestrate...
Swarmchestrate demonstrators explained: Urban Noise Source Monitoring in Koper
(4 min read) Across Europe, cities are under growing pressure to balance quality of life with vibrant urban activity. The Slovenian coastal city of Koper, home to around 53,000 residents, exemplifies this challenge. With a dynamic mix of residential neighborhoods,...
Consortium
