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Data transfer, synchronization and sharing solution for PSDI

Amali Pawula Hewage · CERN

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About

PSDI is the UK nationally funded programme that analyses physical sciences needs in a common data infrastructure and develops guidance, training and technology to address these needs. The PSDI main objective is to serve research use cases originating in experimental "bench science" and simulations with applications in physics, chemistry, materials research or engineering. The main challenge to address by PSDI in the well-known "three Vs" of Big Data: Volume, Variety and Velocity is not Volume but primarily Variety aspect with some considerations given to Velocity, too.

Data transfer, synchronization and sharing solution is a part of broader technology works in PSDI and relies on Open Source components with a strong inclination to containerised and cloud deployments. The IT stack for developing the solution includes OCIS (Own Cloud Infinite Scale) with Ceph object store as a backend, combined with additional tools and an orchestration component based on Apache Airflow. We are reporting on integration of components, on performance measurements and on implementation of data policies that are essential to have in a common data infrastructure. We are discussing the potential of combining the data transfer, synchronisation and sharing solution with data pipelines and a data indexing solution that are also in scope of PSDI technology works.

[1] PSDI – Physical Sciences Data Infrastructure. www.psdi.ac.uk

[2] Towards data sharing service for Physical Sciences Data Infrastructure. CS3 2024. https://indico.cern.ch/event/1332413/contributions/5749450/

[3] Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management. Volume 35, Issue 2, April 2015, Pages 137-144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007

The talk

  1. Data transfer, synchronization and sharing solution for PSDI 2025-03-21 · 14 min · CERN's player

Credits and licence

Institution
CERN
Department
HEP Computing
Speaker
Amali Pawula Hewage
Year
2025
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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