Publikation: ARTICONF: Towards a Smart Social Media ...
Stammdaten
Titel: | ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment |
Untertitel: | |
Kurzfassung: | The ARTICONF project funded by the European Horizon 2020 program addresses issues of trust, time-criticality and democratisa-tion for a new generation of federated infrastructure, to full the privacy, robustness, and autonomy related promises critical in proprietary social media platforms. It aims to: (1) simplify the creation of open and agile social media ecosystem with trusted participation using a two stage permissioned blockchain; (2) automatically detect interest groups and communities using graph anonymization techniques for decentralised and tokenized decision-making and reasoning; (3) elastically autoscale time-critical social media applications through an adaptive orchestrated Cloud edge-based infrastructure meeting application runtime requirements; and (4) enhance monetary inclusion in collaborative models through cognition and knowledge supply chains. We summarize the initial envisaged architecture of the ARTICONF ecosystem, the industrial pilot use cases for validating it, and the planned innovations compared to related other European research projects. |
Schlagworte: | Decentralized social media, privacy, trust, blockchain, semantic network, auto-scaling, Cloud and edge computing |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 29.05.2020 (Online) |
Erschienen in: |
Proceedings of the European Conference on Parallel Processing Workshops (Euro-Par 2019)
Proceedings of the European Conference on Parallel Processing Workshops (Euro-Par 2019)
(
Springer, Cham;
)
zur Publikation |
Titel der Serie: | Lecture Notes in Computer Science |
Bandnummer: | 11997 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 417 - 428 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 29.05.2020 |
ISBN (e-book): |
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eISSN: | - |
DOI: | http://dx.doi.org/10.1007/978-3-030-48340-1_32 |
Homepage: | https://link.springer.com/chapter/10.1007/978-3-030-48340-1_32 |
Open Access |
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AutorInnen
Radu Aurel Prodan (intern) | ||||
Nishant Saurabh (intern) | ||||
Zhiming Zhao (extern) | ||||
Kate Orton-Johnson (extern) | ||||
Antorweep Chakravorty (extern) | ||||
Aleksandar Karadimce
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Alexandre Ulisses
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Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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Forschungscluster | Kein Forschungscluster ausgewählt |
Peer Reviewed |
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Klassifikationsraster der zugeordneten Organisationseinheiten:
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Kooperationen
Organisation | Adresse | ||||
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University of Edinburgh
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GB
Edinburgh |
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University of Amsterdam
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NL - 1012 CX Amsterdam |
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University of Stavanger
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NO - 4021 Stavanger |
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University of Information Science and Technology "St. Paul the Apostle"
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MK - 6000 Ohrid |
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MOG Technologies
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PT - 4470-605 Maia |
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
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Publikationen: | Keine verknüpften Publikationen vorhanden |
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