Towards Serverless Data Exchange Within Federations

Jan 1, 2023·
Boris Sedlak
,
Victor Casamayor Pujol
,
Praveen Kumar Donta
,
Sebastian Werner
,
Karl Wolf
,
Matteo Falconi
,
Frank Pallas
,
Schahram Dustdar
,
Stefan Tai
,
Pierluigi Plebani
· 0 min read
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