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  1. SAFe Program
  2. SP-4680

Measuring storage performance through Storage Benchmarks for SRCNet v.0.1

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    • SRCnet
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      The storage benchmarks give us an idea of the performance of the different types of storage that the SRCs have available. For now only local tests have been completed, but it is necessary to perform these tests on other storage configurations and SRCs to validate the performance of the different storage configurations and in the future to know which type of storage is best suited to one or another service within the SRCNet and the local sites.

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      The storage benchmarks give us an idea of the performance of the different types of storage that the SRCs have available. For now only local tests have been completed, but it is necessary to perform these tests on other storage configurations and SRCs to validate the performance of the different storage configurations and in the future to know which type of storage is best suited to one or another service within the SRCNet and the local sites.
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      AC1: Benchmark workflows are run (statistical performance data gathered) for at least one SRC.

      AC2: Demo of the outcomes of these benchmarks.

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      AC1: Benchmark workflows are run (statistical performance data gathered) for at least one SRC. AC2: Demo of the outcomes of these benchmarks.
    • Intra Program
    • 1
    • 1
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    • Team_CORAL
    • Sprint 4
    • PI24 - UNCOVERED

    • PI24-PB SRCNet0.1 storage-tests tests-compilation
    • SPO-3479

    Description

      In the Feature https://jira.skatelescope.org/browse/SP-4293 storage benchmarks were developed, the documentation, the repos, the installation procedure and the run of tests on various types of storage were created. These benchmarks were also executed in one SRC in several sites. For this Feature, we want to run the tests on at least 1 SRCs and obtain the metrics and statistics for different types of storage and provide feedback on the benchmarks.

       

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                Sean.McConkey Sean McConkey
                M.Parra Parra, Manuel
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                Feature Progress

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                  Feature Estimate: 1.0

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