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

R

Develop an application-level decentralised orchestration framework, utilising Swarm-based distributed intelligence

R

Develop matchmaking algorithms using decentralised AI methods to optimise energy efficiency and effectiveness

R

Develop a simulation environment based on the novel decentralised orchestration concept of the project

R

Dynamically create and manage a set of interconnected Swarms across the  distributed Cloud-to-Edge infrastructure

R

Develop trusted, reliable, secure and transparent knowledge management

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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

14

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

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.

Tamas Kiss

Project Scientific Coordinator

Latest News

Presentation at Research Software London 2024

Presentation at Research Software London 2024

On July 16th, we presented Swarmchestrate in front of research software engineers, researchers, academics and individuals who work with or are interested in research software, during the 5th edition of the RSLondonSouthEast workshop, hosted at Imperial College...

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Meet the Consortium series: FrontEndART

Meet the Consortium series: FrontEndART

Meet the Swarmchestrate partners: FrontEndART FrontEndART Software Ltd. is an SME located in Szeged and Budapest, Hungary. Founded in 2001 as a startup of the Department of Software Engineering of the University of Szeged, it currently has more than 40 employees. Its...

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Meet the Consortium series: FUELICS

Meet the Consortium series: FUELICS

Meet the Swarmchestrate partners: FUELICS Fuelics is a deep-tech startup incorporated in July 2019 in Athens, Greece, that pioneers in developing sensors and platforms for metropolitan scale Smart City deployments specializing in diesel, water and manhole monitoring,...

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Consortium

SZTAKI
TU Berlin
ICCS
TAU
IRI UL
UL FRI
FUELICS
Suite5
FEA
FBK
UST
SNU
ENU
UoW