ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment

Open Access
Authors
  • R. Prodan
  • N. Saurabh
  • Z. Zhao ORCID logo
  • K. Orton-Johnson
  • A. Chakravorty
  • A. Karadimce
  • A. Ulisses
Publication date 2020
Host editors
  • U. Schwardmann
  • C. Boehme
  • D.B. Heras
Book title Euro-Par 2019: Parallel Processing Workshops
Book subtitle Euro-Par 2019 International Workshops, Göttingen, Germany, August 26–30, 2019 : revised selected papers
ISBN
  • 9783030483395
ISBN (electronic)
  • 9783030483401
Series Lecture Notes in Computer Science
Event 25th International European Conference on Parallel and Distributed Computing, EuroPar 2019
Pages (from-to) 417-428
Number of pages 12
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

The ARTICONF project funded by the European Horizon 2020 program addresses issues of trust, time-criticality and democratisation for a new generation of federated infrastructure, to fulfil 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.

Document type Conference contribution
Language English
Published at https://doi.org/10.5281/zenodo.3580716 https://doi.org/10.1007/978-3-030-48340-1_32
Other links https://www.scopus.com/pages/publications/85086270660
Downloads
paper_28 (Submitted manuscript)
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