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Title OASEES: An Innovative Scope for a DAO-Based Programmable Swarm Solution, for Decentralizing AI Applications Close to Data Generation Locations
ID_Doc 7151
Authors Chochliouros, IP; Kourtis, MA; Xilouris, G; Tavernier, W; Sanchez, EA; Anastassova, M; Bolzmacher, C; Tcholtchev, N; Corsi, A; Trakadas, P; Millet, M; Xenakis, C; Imeri, A; Bellesini, F; DOstilio, P; Markakis, A; Engin, IB; Litke, A; Quarato, LM; Cugat, D; Gardikis, G; Zarakovitis, C; Bouilland, S; Zaharis, Z; Lessi, C; Arvanitozisis, D; Spiliopoulou, AS
Title OASEES: An Innovative Scope for a DAO-Based Programmable Swarm Solution, for Decentralizing AI Applications Close to Data Generation Locations
Year 2023
Published
DOI 10.1007/978-3-031-34171-7_7
Abstract As traditional linear models have proved to be ineffective in perspective of the stagnant decision-making and inefficient data federation, the pathway onwards a European data sovereignty dictates for a sustainable and circular economy across diverse market sectors. In this scope, the EU-funded OASEES project has identified the need for a novel, inclusive and disruptive approach regarding the cloud to edge continuum and swarm programmability and also supporting multi-tenant, interoperable, secure and trustworthy deployments. In the present paper we discuss actual challenges for the management and orchestration of edge infrastructure and services to exploit the potential of edge processing. Then we discuss the concept and fundamental features of the OASEES approach together with technology challenges that are to be covered by the intended system development. We also discuss, in brief, a set of several vertical edge applications with significant market impact.
Author Keywords 5G; AI; blockchain; cloud hosting; compute continuum; DAO; decentralized applications; edge computing; edge processing; edge sharing; enhanced platform awareness; ML; MLOps; swarm computing; secure edge
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:001289290300007
WoS Category
Research Area
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