ATMOSPHERE (Adaptive, Trustworthy, Manageable, Orchestrated, Secure Privacy-assuring Hybrid, Ecosystem for REsilient Cloud Computing) is a 24-month project aiming at the design and development of an ecosystem of a framework, platform and application of next generation trustworthy cloud services on top of an intercontinental hybrid and federated resource pool. The framework considers a broad spectrum of properties and their measures. The platform supports the building, deployment, measuring and evolution of trustworthy cloud resources, data networks and data services. The platform is demonstrated in a sensitive scenario to build a cloud-enabled secure and trustworthy application related to distributed telemedicine.

The research group focused on the specification of trustworthy properties given the different aspects both in terms of data and data sources as well as in terms of analytics (e.g. different classes of algorithms, combination of algorithms into graphs and analytics pipelines, etc). Furthermore, DAC group contributed to mechanisms for enhancing analytics algorithms with trustworthy properties, while also leading research on the definition, analysis and correlation of GDPR aspects both for data management and for analytics.