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

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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: 17 Dec 2024 16:40
URI: https://eprints.sztaki.hu/id/eprint/10832

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