TY - GEN
T1 - Swarmchestrate
T2 - International Conference on Advanced Information Networking and Applications
AU - Kiss, Tamas
AU - Ullah, Amjad
AU - Terstyanszky, Gabor
AU - Kao, Odej
AU - Becker, Soren
AU - Verginadis, Yiannis
AU - Michalas, Antonis
AU - Stankovski, Vlado
AU - Kertesz, Attila
AU - Ricci, Elisa
AU - Altmann, Jörn
AU - Egger, Bernhard
AU - Tusa, Francesco
AU - Kovacs, Jozsef
AU - Lovas, Robert
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Collecting and analysing large amounts of data in the Cloud-to-Edge computing continuum raises novel challenges that traditional centralised orchestration solutions cannot handle efficiently. To overcome the limitations of current centralised application management approaches, this paper presents a fully 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, are managed through blockchain-based trusted solutions and the utilisation of emerging methods such as Self-Sovereign Identities (SSI) and Distributed Identifiers (DID). End-to-end security of the overall system is assured by utilising state-of-the-art cryptographic and privacy-preserving data analytics algorithms. A digital twin, that runs in parallel to the physical system, further improves its behaviour with predictive feedback. The presented concept is going to be implemented in the EU-funded Swarmchestrate project that starts in 2024.
AB - Collecting and analysing large amounts of data in the Cloud-to-Edge computing continuum raises novel challenges that traditional centralised orchestration solutions cannot handle efficiently. To overcome the limitations of current centralised application management approaches, this paper presents a fully 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, are managed through blockchain-based trusted solutions and the utilisation of emerging methods such as Self-Sovereign Identities (SSI) and Distributed Identifiers (DID). End-to-end security of the overall system is assured by utilising state-of-the-art cryptographic and privacy-preserving data analytics algorithms. A digital twin, that runs in parallel to the physical system, further improves its behaviour with predictive feedback. The presented concept is going to be implemented in the EU-funded Swarmchestrate project that starts in 2024.
U2 - 10.1007/978-3-031-57931-8_9
DO - 10.1007/978-3-031-57931-8_9
M3 - Conference contribution
AN - SCOPUS:85191306101
VL - 5
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 89
EP - 100
BT - Advanced Information Networking and Applications
PB - Springer
Y2 - 17 April 2024 through 19 April 2024
ER -