ISBN: 978-3-031-04960-6
Editors: Elisabetta Di Nitto, Jesús Gorroñogoitia Cruz, Indika Kumara, Dragan Radolović, Kamil Tokmakov and Zoe Vasileiou
Springer Book: Deployment and Operation of Complex Software in Heterogeneous Execution Environments - The SODALITE Approach
ISBN: 978-3-031-04960-6
Preface
Springer Book: Deployment and Operation of Complex Software in Heterogeneous Execution Environments - The SODALITE Approach
Data Science for Entrepreneurship - Principles and Methods in Data Engineering, Analytics and Decision-Making
Springer
Chapter in a Book: Data Governance
In this final reporting period we conclude the research and development with excellent results, and present the final business plans in the light of the identified opportunities and the individual/joint exploitation plans of the consortium partners.
All About SODALITE
Interview with Dr Federico M. Facca, H-CLOUD Coordinator
POET
PerfOrmancE opTimization
POET is composed of static and dynamic applic
Pitch Deck - SODALITE KER 5 - POET
REFIT
monitoRing & rEconFiguraTion
REFIT ensures the monitoring of syste
Pitch Deck - SODALITE KER 4 - REFIT
MOORING
deployMent OrchestratiOn pRovisIoniNG
MOORING consists of a framewo
Pitch Deck - SODALITE KER 3 - MOORING
FindIaCBug
Verification & Bug Prediction
FindIaCBug is responsible for t
Pitch Deck - SODALITE KER 2 - FindIaCBug
SmartIDE
Modelling and IDE
Pitch Deck - SODALITE KER 1 - Smart IDE
The final press release of SODALITE is already launched!
The press release covers the main results achieved by SODALITE and its use cases!
SODALITE Press Release #3
Final Press Release: SODALITE releases an end-to-end IaC optimisation toolkit boosting the Digital Transformation of European Industry
The emergence of new technologies supporting the numerous software-defined applications and tools we use on a daily basis has put Cloud and HPC systems at the centre for their correct functioning and availability.
SODALITE successfully hosts its final event at HorizonCloud Summit and Cloud Expo Europe 2021
Journal Transactions on Services Computing
Abstract:
FOCloud: Feature Model Guided Performance Prediction and Explanation for Deployment Configurable Cloud Applications
POET
PERFORMANCE OPTIMIZATION
Lead Partner: HPE
Contributors: HLRS, POLIMI
POET
REFIT
MONITORING & RECONFIGURATION
Lead Partner: ATOS
REFIT
MOORING
DEPLOYMENT ORCHESTRATION PROVISIONING
Lead Partner: XLAB