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Control Workflow for Performance and Scalability Measurements

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Feb 15, 2019 7:45 PM
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This workflow was constructed to be able to compare different performance and scalability measurements. First a data set of the defined size is created. This dataset is sent forward to multiple workflows. We are here comparing three modes, using Native KNIME and adding Spark or H2O nodes. Finally these measurements are repeated mutliple times to ensure that the results are independent from effects outside of the workflow.
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.1
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    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

    knime profile image
    knime
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    KNIME Extension for Local Big Data EnvironmentsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime profile image
    knime
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    KNIME H2O Machine Learning IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

    knime profile image
    knime
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    KNIME ServerSpaceTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.10.1

    knime profile image
    knime
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    Vernalis KNIME NodesTrusted extension

    Vernalis Research Ltd, Cambridge, UK

    Version 1.24.4

    vernalis

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