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Recent Developments in the ICAT Job Portal: A Comprehensive Overview

This article provides a detailed overview of the ICAT Job Portal, a generic job submission system built on a scientific data catalog. It covers features like dataset search, job configuration, job types, job submission process, monitoring, interactive jobs, jobscripts, and job development. The document also delves into recent developments, current status, and future development plans for the ICAT Job Portal.

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Recent Developments in the ICAT Job Portal: A Comprehensive Overview

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  1. Recent Developments in theICAT Job Portala generic job submission systembuilt on a scientific data catalog NOBUGS October 2016 Brian Ritchie, Rebecca Fair Steve Fisher, Kevin Phipps, Tom Griffin Dan Rolfe, Jianguo Rao STFC Rutherford Appleton Laboratory

  2. Overview • Search for datasets / datafiles using ICAT • Configure and submit jobs to process selected datasets / datafiles on one or more batch servers • Submit single job for all selected datasets/datafiles, or separate jobs for each • Jobs use IDS to retrieve data (or ICAT for metadata) • Monitor progress of jobs and inspect output

  3. Architecture User’s desktop GUI (browser) CLI search ICAT & IDS REST IJP Server IJP web app REST Batch System 1 Batch System N retrieve … IJP batch connector 1 IJP batch connector N submit batch job submit batch job Batch server 1 Batch server N batch server magic batch server magic … … Worker Node 1 Worker Node 1 Worker Node n Worker Node n

  4. Finding data • Use TopCAT to find data in ICAT • Configure job for single dataset or datafile • or build a cart with multiple datasets/datafiles • Configure job for cart

  5. Job Types • Part of the IJP configuration • Each Job Type specifies: • Program (job script) to run • Dataset types for which the job can be run • If job is batch or interactive • If job accepts datasets, datafiles or both • If single job can take multiple datasets/datafiles • Other job parameters / options • GUI filters job types depending on selected data • or filter data by selecting job type first

  6. Job configuration • Job options • Submit options

  7. Job submission • IJP server gets estimates from each batch connector • Chooses one of the best • Batch connector submits job to its batch system • Jobscript executable defined in job type • Job is passed dataset/file IDs, ICAT/IDS session tokens and job options • Batch connector monitors submitted jobs • Queue status, standard/error output • IJP server monitors batch connectors • IJP server holds job status and output • Until user deletes the job

  8. Monitoring batch jobs Job history, status, management Output of running job

  9. Interactive jobs • Batch connector selects a worker node • Node is removed from pool of available workers • Sets up RDP session to run interactive executable • RDP connection details passed back to IJP server • GUI launches Remote Desktop (Windows) or gives pasteable command line (Linux) • Batch connector releases worker once session is closed • tries hard not to leave dangling interactive sessions

  10. Jobscripts • Executable that runs on batch system workers • Receives dataset/datafile IDs, options, session tokens on command line • Uses IDS to retrieve datasets/datafiles (or ICAT for metadata) • Should add provenance records to ICAT • Does not communicate with the IJP

  11. Developing jobs • Create jobscript • Python utility library for argument processing • Python-icat or similar to work with ICAT / IDS • Deploy jobscript on batch system • Define jobtype XML • Add to IJP server configuration (dynamic)

  12. Recent developments • New GUI • TopCAT plugin (AngularJS) • RESTful interface to IJP server • Original GWT GUI still part of server, but won’t be developed further

  13. Current status • One active customer, Octopus (CLF) • Test system in place (ingest, jobscript development) • Not yet in production • Batch connectors • Torque • Unix batch (for demos/tests) • Platform LSF (incomplete)

  14. Future development • Improve batch system brokering • Add batch requirements to job types (e.g. requires GPU) • Support versioning of datasets • Specific requirement from Octopus – post-ingestion modifications • IJP GUI should only show latest version of each dataset (custom results filtering) • Version management separate from IJP, but may be developed as jobs

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