Urban Infrastructure
enterpriseTarget: Smart City Operator
If you are a city operator dealing with parking congestion — this project developed a decentralized orchestrator that manages parking space data locally to reduce lag and costs.
Swarmchestrate · Project
Decentralized Cloud-to-Edge Orchestration for Faster and More Secure Data Processing
digitalPrototypeTRL 4
Imagine a team of smart assistants who can organize themselves without a boss, deciding who does what based on who is closest to the job. Instead of sending all information to one giant brain far away, this system lets small groups of devices work together locally. It uses a digital ledger to make sure everyone is trusted and secure, like a secure digital handshake.
By the numbers
15
partners
4
real-life demonstrators
10
countries involved
The business problem
What needed solving
Sending massive amounts of data to central clouds is too slow, expensive, and risky. Current centralized management cannot handle the scale of hyper-distributed edge devices.
The solution
What was built
A decentralized application-level orchestrator and a first prototype tested with a sample application. It includes a simulator that evolves into a digital twin for predictive feedback.
Audience
Who needs this
Smart city infrastructure providersIndustrial IoT platform developersEnvironmental monitoring agenciesEdge computing hardware vendors
Business applications
Who can put this to work
Environmental Monitoring
mid-sizeTarget: Water Management Agency
If you are a water agency dealing with sudden flood risks — this project developed a swarm-based system that processes sensor data at the edge for faster flood prevention alerts.
Security & Surveillance
SMETarget: Video Analytics Provider
If you are a security firm dealing with high bandwidth costs for video feeds — this project developed distributed intelligence that analyzes video closer to the camera to save energy and time.
Frequently asked
Quick answers
What is the cost or pricing model for this technology?
Based on available project data, no specific pricing or cost models are provided as this is a research project.
Can this be scaled to an industrial level?
The project is testing the concept on 4 real-life demonstrators, including video analytics and flood prevention, to prove its scalability in distributed environments.
What are the IP and licensing terms?
Based on available project data, specific licensing terms are not mentioned, though the project uses blockchain-based trusted solutions for identity management.
How does this integrate with existing cloud systems?
It acts as an application-level orchestrator across the cloud-to-edge continuum, using microservices to bridge the gap between central clouds and local edge devices.
What is the timeline for market availability?
The project period runs from 2024-01-01 to 2026-12-31, suggesting the technology is currently in the development and prototyping phase.
Consortium
Who built it
The consortium is well-balanced for a technical transition, consisting of 15 partners across 10 countries. With a 27% industry ratio (4 companies, including 3 SMEs), there is a clear bridge between the 7 universities and 4 research institutes and the commercial market, ensuring the research is grounded in practical use cases.
How to reach the team
Contact HUN-REN SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET
Next steps
Talk to the team behind this work.
Contact us to explore licensing opportunities for the Swarmchestrate prototype.
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