Biblio
Filters: Author is Blanquer, Ignacio [Clear All Filters]
.
2019. ATMOSPHERE: Adaptive, Trustworthy, Manageable, Orchestrated, Secure, Privacy-Assuring, Hybrid Ecosystem for Resilient Cloud Computing. 2019 9th Latin-American Symposium on Dependable Computing (LADC). :1–4.
This paper describes the goals of the ATMOSPHERE project, which is a multi-institutional research and development (R&D) effort aiming at designing and implementing a framework and platform to develop, build, deploy, measure and evolve trustworthy, cloud-enabled applications. The proposed system addresses the federation of geographically distributed cloud computing providers that rely on lightweight virtualization, and provide access to heterogeneous sets of resources. In addition, the system also considers both classic trustworthiness properties from the systems community, such as dependability and security, and from the machine learning community, such as fairness and transparency. We present the architecture that has been proposed to address these challenges and discuss some preliminary results.
.
2018. EUBra-BIGSEA, A Cloud-Centric Big Data Scientific Research Platform. 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W). :47–48.
This paper describes the achievements of project EUBra-BIGSEA, which has delivered programming models and data analytics tools for the development of distributed Big Data applications. As framework components, multiple data models are supported (e.g. data streams, multidimensional data, etc.) and efficient mechanisms to ensure privacy and security, on top of a QoS-aware layer for the smart and rapid provisioning of resources in a cloud-based environment.