Intelligent Data Management with Multi-VO Rucio
Explore the advantages of Multi-VO Rucio, a powerful data movement tool, for High-Capacity Heterogeneous Networks, Adaptive Replication, and seamless FTS integration. Learn about running Rucio instances for multiple VOs, efficient data transfers, and customizing access with Policy Packages.
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Presentation Transcript
Multi-VO Rucio for EGI Timothy Noble
Rucio Intelligent data movement High Capacity Heterogeneous network and storage infrastructure Adaptive replication Data recovery Seamless FTS integration
Multi-VO Rucio at RAL 6 VMs on SCD OpenStack cloud VM for access (Bastion) Server ELK 3 daemon servers one per VO 2 machines running the databases Benefits from existing RAL Tier-1 services Load balancer for the Rucio server provided by HA Proxy Data transfers mediated by the RAL FTS Providing regular functional tests (every hour) Submits data transfers between RSEs in the UK
Advantages of Multi-VO Rucio Running a Rucio instance that supports multiple VOs is beneficial for small experiments: Maintained by RAL not by smaller experiments Low levels of load from smaller experiments. One instance to support and maintain. Shared RSE configuration New VOs are quick to add work with VO admin to setup their environment More contact with Developers and larger communities using Rucio to know how best to utilise
Moving data with Rucio EGI Data Transfer Service - FTS Replication Rules A file from a data source may be uploaded to Rucio to an RSE This may not be where it is needed (wrong site) Add a replication rule $ rucio add-rule scope:first_dataset scope:second_dataset 2 country=uk' This would add the two datasets to the RSEs in the UK, and have 2 copies of this dataset within the UK $ rucio add-rule scope:first_dataset scope:second_dataset 2 'country=uk\site=RAL-LCG2 This would add the same two copies across the UK but excludes RAL as one of the potential sites to keep this data RSE expressions
Policy Packages Allows you to customise access to Rucio Python Packages to better integrate Rucio with your experiment Generic files available for customisation and we will work with you to develop these Maintained by the experiment (with our support) Permissions Who can read, write, and delete, and where Placement algorithms How the data is located within the RSEs user.jdoe:test.file.1 077c8119053bebb168d125034bff64ac /07/7c/user.jdoe/test.file.1 /test/user.jdoe/file.1 /data/dataset1234/user.jdoe/test.file.1 Hashes Deterministic based on file names Non-deterministic uses all parts of file http://rucio.cern.ch/documentation/policy-packages/
Future plans EGI-ACE Developments WebUI for Multi-VO Integration with IAM and EGI check-in Invite new experiments to use Multi-VO Rucio Improve documentation Internal Developments Multi-VO selection of certificates for daemons Containerisation Improve monitoring Gain experience with on boarding a variety of communities and requirements
www.egi.eu/projects/egi-ace Website: www.egi.eu/projects/egi-ace Afbeelding met bijl, vectorafbeeldingen Automatisch gegenereerde beschrijving EGI Foundation EGI Foundation @EGI_eInfra @EGI_eInfra 8 21-10-2021
