Analysis-Ready-Cloud-Optimized (ARCO) for Cloud Computing and Data Analytics to Support Open Science
Cloud computing is changing the way we traditionally do computing. Large volumes of data temporally or spatially that are diverse and complex pose challenges in how it is stored, accessed, managed, shared, visualized, and fused for answering many analytical questions.
Improving efficiency with the Infrastructure that are demand-driven and automated systems of systems that enable the improved access, interoperability and portability of the systems and solutions (Infrastructure-as-Code) that are function-driven and cloud-optimized, are warranted. The optimized data format that is cloud-ready and improves access and interoperability with robust data structure and metadata will pave the path forward that will be centered abound Data equity and the People/ users’ encouraging the Open Science.
For robust deployment and stable service, developing such an open framework that allows us to interoperate within systems of systems, scale using cloud computing or high-end computing, and accelerate analyses facilitated by data-proximate computing, that are reusable and collaboration agnostic is highly recommended. This scalable framework that capitalizes Analysis-Ready-Cloud-Optimized (ARCO) Data-driven by FAIR Data principles that support efficient data-driven approaches such as geospatial intelligence, Artificial Intelligence (AI) including several other domains of Science to extract valuable information out of large volumes of data and developing information products that reach a large group of users with enhanced customer experience (CX) and also supports the decision-making process that impacts lives of the people.
This session will focus on use cases on the ARCO, Infrastructure and migration, Analytics and visualization, and Dissemination of data and information products in the cloud that will improve the Interoperability, Access, and usage of NOAA Data that supports Open Science leading to Innovation. Specifically, this session will explore: (Lightning talk and panel discussion):
the critical components of scalable cloud computing infrastructure as a service and Infrastructure as code, Open Science use case within NOAA and beyond
the current cloud deployment practices, native cloud formats and current cloud optimized formats and optimized chunking of data formats such as Zarr.
facilitate discussion on cloud computing and ARCO and how those are facilitated through FAIR Data Principles (Use case, discussions)
the critical components of cloud computing and applications including data ingest, archive, storage, visualization, distribution, modeling, and analysis-ready data