Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
ESSI2.7 | From HPC to Cloud and Edge computing in Earth Observation and Earth Modelling
EDI
From HPC to Cloud and Edge computing in Earth Observation and Earth Modelling
Convener: Vasileios Baousis | Co-conveners: Umberto Modigliani, Stathes Hadjiefthymiades, Kakia PanagidiECSECS
Cloud computing has emerged as the dominant paradigm, supporting practically all industrial applications and a significant number of academic and research projects. Since its introduction in early 2010s and its widespread adoption thereafter, migration to the cloud computing has been a considerable task for many organizations and companies. Processing of big data close to their physical location is a perfect use case for cloud technologies and cloud storage infrastructures which offer all the necessary infrastructure and tools, especially if cloud infrastructures are offered together with HPC resources.
This session focuses on Cloud/Fog/Edge computing use cases and aims to identify the status and the steps towards a wider cloud computing adoption in Earth Observation and Earth Modelling.
We encourage contributions describing all kinds of Cloud/Fog/Edge computing efforts in Earth Observation and Earth Modelling domains, such as (but not limited to):
• Cloud Applications, Infrastructure and Platforms (IaaS, PaaS SaaS and XaaS).
• Cloud federations and cross domain integrations.
• Service-Oriented Architecture in Cloud Computing
• Cloud Storage, File Systems, Big Data storage and Management.
• Networks within Cloud systems, the Storage Area, and to the outside
• Virtualization in the Context of Cloud Computing Platforms
• Fog and Edge Computing
• Operational systems on the cloud.
• Big Data processing use cases, techniques, models, and algorithms on the cloud.
• Big Data Infrastructures and platforms
• Data lakes and warehouses on the cloud.
• Machine Learning Techniques for Edge, Fog, and Cloud.
• Cloud computing and HPC convergence in EO data processing.
• Edge/Fog/Cloud computing and HPC workload unification.