ATMOSPHERE: Adaptive, Trustworthy, Manageable, Orchestrated, Secure, Privacy-assuring, Hybrid Ecosystem for REsilient Cloud Computing.
Description
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 comprised of a framework and a platform enabling the implementation of next generation trustworthy cloud services on top of an intercontinental hybrid and federated resource pool. The framework considers a broad spectrum of trustworthiness properties and their measures. The platform supports the development, build, deployment, measurement and evolution of trustworthy cloud resources, data management services and data processing services, and is demonstrated on a sensitive scenario consisting of a cloud-enabled secure and trustworthy application for distributed telemedicine. Consortium EC-Europe and RNP-Brazil.
Researchers
Keywords
trustworthiness, cloud computing, self-adaptive systems
Start Date
2017-11-01
End Date
2019-10-31
Conference Articles
2019
(4 publications) - João R. Campos and Marco Vieira and Costa, E. , "Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software", in International Symposium on Software Reliability Engineering (ISSRE), 2019
- Matheus Torquato and Marco Vieira , "Towards Models for Availability and Security Evaluation of Cloud Computing with Moving Target Defense", in Student Forum paper of the 15th European Dependable Computing Conference (EDCC 2019), 2019
- Matheus Torquato and Guedes, E. and Maciel, P. and Marco Vieira , "A Hierarchical Model for Virtualized Data Center Availability Evaluation", in 2019 15th European Dependable Computing Conference (EDCC), 2019
- Lemes, C.I. and Naessens, V. and Marco Vieira , "Trustworthiness Assessment of Web Applications: Approach and Experimental Study using Input Validation Coding Practices", in 2019 International Symposium on Software Reliability Engineering (ISSRE), 2019