@inproceedings{00d7d011eeb24f5c9c6fddedaa195c78,
title = "ARTICONF: Towards a smart social media ecosystem in a blockchain federated environment",
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.",
keywords = "auto-scaling, blockchain, cloud and edge computing, decentralized social media, privacy, semantic network, trust",
author = "Radu Prodan and Nishant Saurabh and Zhiming Zhao and Kate Orton-Johnson and Antorweep Chakravorty and Aleksandar Karadimce and Alexandre Ulisses",
note = "Funding Information: 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. Funding Information: ARTICONF receives funding from the European Union{\textquoteright}s Horizon 2020 research and innovation program under grant agreement number 825134. Funding Information: The ARTICONF project funded by the Horizon 2020 programme of the European Union researches and develops a novel set of trustworthy, resilient, and globally sustainable decentralised social media services. ARTICONF addresses issues of trust, time-criticality and democratisation for a new generation of federated infrastructure, to fulfil the privacy, robustness, and autonomy related promises that proprietary social media platforms have failed to deliver.; 25th International European Conference on Parallel and Distributed Computing, EuroPar 2019 ; Conference date: 26-08-2019 Through 30-08-2019",
year = "2020",
month = nov,
day = "19",
doi = "10.1007/978-3-030-48340-1_32",
language = "English",
isbn = "9783030483395",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "417--428",
editor = "Ulrich Schwardmann and Christian Boehme and {B. Heras}, Dora and Valeria Cardellini and Emmanuel Jeannot and Antonio Salis and Claudio Schifanella and Manumachu, {Ravi Reddy} and Dieter Schwamborn and Laura Ricci and Oh Sangyoon and Thomas Gruber and Laura Antonelli and Scott, {Stephen L.}",
booktitle = "Euro-Par 2019",
}