OASEES: An Innovative Scope for a DAO-Based Programmable Swarm Solution, for Decentralizing AI Applications Close to Data Generation Locations [* Cross-Reference *]

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Chochliouros, Ioannis P.; Kourtis, Michail Alexandros; Xilouris, George; Tavernier, Wouter; Sanchez, Enrique Areizaga; Anastassova, Margarita; Bolzmacher, Christian; Tcholtchev, Nikolay; Corsi, Antonello; Trakadas, Panagiotis; Millet, Marta; Xenakis, Christos; Imeri, Adnan; Bellesini, Francesco; D’Ostilio, Paride; Markakis, Albertos; Engin, Ihsan Bal; Litke, Antonis; Quarato, Lucrezia Maria; Cugat, Diego; Gardikis, Georgios; Zarakovitis, Charilaos; Bouilland, Stephane; Zaharis, Zaharias; Lessi, Christina; Arvanitozisis, Dimitrios; Spiliopoulou, Anastasia S., 2023, "OASEES: An Innovative Scope for a DAO-Based Programmable Swarm Solution, for Decentralizing AI Applications Close to Data Generation Locations [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.GI7D5S, LIST Open Repository, V1
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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. (2023-10-06)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1007/978-3-031-34171-7_7 for the original and latest version of the dataset and data downloads*** (2025-09-03)
Subject Computer and Information Science
Keyword 5G, AI, blockchain, cloud hosting, compute continuum, DAO, decentralized applications, edge computing, edge processing, edge sharing, enhanced platform awareness, ML, MLOps, secure edge, swarm computing
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