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UID:submissions.pasc-conference.org_PASC24_sess121_msa222@linklings.com
SUMMARY:The FDB: Developments Supporting a Semantic Approach to Scientific
  Data Managament
DESCRIPTION:Minisymposium\n\nEmanuele Danovaro, Christopher Bradley, Nicol
 au Manubens, Metin Cakircali, Simon Smart, and Tiago Quintino (ECMWF)\n\nD
 ata management plays a vital role in complex scientific workflows. As syst
 ems and workflows expand, become more heterogenous, and integrate componen
 ts across the HPC-cloud ecosystem, the data management challenges become l
 arger.\n \nWe introduce the FDB, a specialised object store for meteorolog
 ical data developed in-house at ECMWF, along with its metadata-driven API 
 and access semantics optimised for time-critical forecasting workflows. Th
 e FDB was initially developed to absorb Numerical Weather Prediction model
  output, managing access to the global parallel filesystem in an HPC envir
 onment, but it has grown to provide a larger, more-general, multi-system d
 ata ecosystem.\n \nNew developments in this ecosystem include a remote pro
 tocol, to provide access between distinct HPC and cloud systems, as well a
 s GRIBJump, a library integrated with the FDB to enable users to directly 
 and efficiently extract sub-features from large data objects (from a singl
 e data point, to large multi-dimensional subdomains).\n \nWe are developin
 g further backends for the FDB,  using Fabric Attached Memory (FAM) to fac
 ilitate direct in-memory transfer of data between HPC and cloud partitions
  within the OpenCUBE system. We are also exploring the role of additional 
 flexibility in the metadata language. We discuss how these developments su
 pport scientific workflows in HPC and cloud domains.\n\nDomain: Climate, W
 eather, and Earth Sciences, Engineering, Computational Methods and Applied
  Mathematics\n\nSession Chair: Tiziano Müller (HPE)
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