ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment (bibtex)
@InCollection{Prodan2020, author = {Radu Prodan and Nishant Saurabh and Zhiming Zhao and Kate Orton-Johnson and Antorweep Chakravorty and Aleksandar Karadimce and Alexandre Ulisses}, booktitle = {Euro-Par 2019: Parallel Processing Workshops}, publisher = {Springer International Publishing}, title = {{ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment}}, year = {2020}, month = may, number = {1997}, pages = {417--428}, 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 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.}, doi = {10.1007/978-3-030-48340-1_32}, keywords = {Decentralized social media, privacy, trust, blockchain, semantic network, autoscaling, Cloud and edge computing}, url = {https://link.springer.com/chapter/10.1007/978-3-030-48340-1_32} }
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