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Application-level Swarm-based Orchestration Across the Cloud-to-Edge Continuumbroad

Swarmchestrate · Horizon Europe grant · 2024-01-01–2026-12-31

EC contribution

€4,331,726

Total cost

€0

Beneficiaries

15
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-CL4-2023-DATA-01 · scheme HORIZON-RIA · topic HORIZON-CL4-2023-DATA-01-04. CORDIS record →

Objective

Collecting and analysing large amounts of data in the Cloud-to-Edge computing continuum raises novel challenges. Processing all this data centrally in cloud data centres is not feasible anymore as transferring large amounts of data to the cloud is time-consuming, expensive, degrade performance and may raise security concerns. Therefore, novel distributed computing paradigms, such as edge and fog computing emerged to support processing data closer to its origin. However, such hyper-distributed systems require fundamentally new methods. To overcome the limitation of current centralised application management approaches, Swarmhestrate will develop a completely novel decentralised application-level orchestrator, based on the notion of self-organised interdependent Swarms. Application microservices are managed in a dynamic Orchestration Space by decentralised Orchestration Agents, governed by distributed intelligence that provides matchmaking between application requirements and resources, and supports the dynamic self-organisation of Swarms. Knowledge and trust, essential for the operation of the Orchestration Space, will be managed through blockchain-based trusted solutions using methods of Self-Sovereign Identities (SSI) and Distributed Identifiers (DID). End-to-end security of the overall system will be assured by utilising state-of-the-art cryptographic algorithms and privacy preserving data analytics. Due to the imminent complexity of the decentralised system, novel simulation approaches will be developed to test and optimise system behaviour (e.g., energy efficiency) in the early stages of development. Additionally, the simulator will be further extended into a digital twin running in parallel to the physical system and improving its behaviour with predictive feedback. The Swarmchestrate concept will be prototyped on four real-life demonstrators from the areas of flood prevention, parking space management, video analytics and a digital twin of natural habitat.

Beneficiaries (15)

OrganisationCountryRoleEC contributionSME
HUN-REN SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET HU coordinator €420,665
SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED CY participant €530,625 Yes
TECHNISCHE UNIVERSITAT BERLIN DE participant €508,000
TAMPEREEN KORKEAKOULUSAATIO SR FI participant €468,625
EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON EL participant €448,999
FONDAZIONE BRUNO KESSLER IT participant €444,250
FUELICS IDIOTIKI KEFALAIOUXIKI ETAIREIA EL participant €372,500 Yes
UNIVERZA V LJUBLJANI SI participant €330,188
UST SPAIN INSIDE SL ES participant €310,000
FRONTENDART SZOFTVER KFT HU participant €300,375 Yes
UNIVERZA NA PRIMORSKEM UNIVERSITA DEL LITORALE SI participant €197,500
Inovacijsko-razvojni institut Univerze v Ljubljani SI thirdParty €0
EDINBURGH NAPIER UNIVERSITY UK associatedPartner
SEOUL NATIONAL UNIVERSITY KR associatedPartner
THE UNIVERSITY OF WESTMINSTER LBG UK associatedPartner

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