Swarmchestrate: Application-level Swarm-based Orchestration Across the Cloud-to-Edge Continuum

PROJECT TITLE: Swarmchestrate: Application-level Swarm-based Orchestration Across the Cloud-to-Edge Continuum
PROJECT LEADER: Aleksandar Tošić, PhD
PERIOD: 1.1.2024 – 31.12.2026
BUDGET: 4.328.726,25 EUR (194.500,00 EUR for InnoRenew CoE)
FINANCING: Horizon Europe
PROJECT COORDINATOR: Hun-Ren Szamitastechnikai Es Automatizalasi Kutatointezet (Hungary)
PARTNERS: Hun-Ren Szamitastechnikai Es Automatizalasi Kutatointezet (Hungary); Technische Universitat Berlin (Germany); Erevnitiko Panepistimiako Institouto Systimaton Epikoinonion Kai Ypologiston (Greece); Tampereen Korkeakoulusaatio (Finland); Univerza v Ljubljani (Slovenia); Inovacijsko-razvojni institut Univerze v Ljubljani (Slovenia); Fuelics Idiotiki Kefalaiouxiki Etaireia (Greece); Suite5 Data Intelligence Solutions Limited (Cyprus); Frontendart Szoftver Kft (Hungary); Fondazione Bruno Kessler (Italy); Ust Spain Inside S.L.(Spain); Seoul National University (Korea); Edinburgh Napier University (UK); University Of Westminster Lbg (UK); InnoRenew CoE (Slovenia)

The IoT and the ever-growing collection of edge-connected devices, many of which require high-speed and highly accurate data transmission, are pushing centralised cloud processing functions to their limits. Edge computing moves it to the edge of the network. These new highly distributed paradigms require fundamentally new application management approaches. The EU-funded Swarmchestrate project aims to deliver one with the self-organisation of so-called swarms of interdependent units in a dynamic orchestration space. The swarms will be managed by decentralised orchestration agents with blockchain-based trusted solutions, state-of-the-art cryptographic algorithms, and privacy-preserving data analytics.

https://cordis.europa.eu/project/id/101135012

InnoRenew CoE project activities

InnoRenew CoE’s role is to serve as a demonstrator for the developed technologies. InnoRenew CoE in collaboration with UP operates noise monitoring stations in the Municipality of Koper. These stations are considered edge devices, which have significant computation capacity currently underutilized. Swarmchestrate’s technology will allow InnoRenew CoE to run signal processing algorithms needed for sound classification to execute them on these devices as opposed to the current use of centralized cloud infrastructures. Within the project, InnoRenew CoE will work with the consortium to develop and implement the solution in practice with a high TRL thereby demonstrating the potential of Swarmchestrate.