Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum
Kiss, T and Ullah, A and Terstyanszky, G and Kao, O and Becker, S and Verginadis, Y and Michalas, A and Stankovski, V and Kertész, Attila and Ricci, E and Altmann, J and Egger, B and Tusa, F and Kovács, József and Lovas, Róbert (2024) Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum. Lecture Notes on Data Engineering and Communications Technologies, 203. pp. 89-100. ISSN 2367-4512 10.1007/978-3-031-57931-8_9
| 
 | Text Kiss_89_34795721_ny.pdf Download (405kB) | Preview | 
Abstract
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. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
| Item Type: | Article | 
|---|---|
| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány | 
| Divisions: | Laboratory of Parallel and Distributed Systems | 
| SWORD Depositor: | MTMT Injector | 
| Depositing User: | MTMT Injector | 
| Date Deposited: | 17 Dec 2024 16:40 | 
| Last Modified: | 12 Jun 2025 06:46 | 
| URI: | https://eprints.sztaki.hu/id/eprint/10832 | 
|  | Update Item | 
 
        


