Towards Serverless Data Exchange Within Federations
Jan 1, 2023·,,,,,,,,,·
0 min read
Boris Sedlak
Victor Casamayor Pujol
Praveen Kumar Donta
Sebastian Werner
Karl Wolf
Matteo Falconi
Frank Pallas
Schahram Dustdar
Stefan Tai
Pierluigi Plebani
Abstract
In this paper, we propose a novel approach for sharing privacy-sensitive data across federations of independent organizations, taking particular regard to flexibility and efficiency. Our approach benefits from data meshes and serverless computing – such as flexible ad-hoc composability or minimal operational overheads – to streamline data sharing phases, and to effectively and flexibly address the specific requirements of highly variable data sharing constellations.
Type
Publication
Service-Oriented Computing