Sentence examples for orchestrate workflows from inspiring English sources

An interesting and emerging trend in workflow development is to orchestrate workflows from one or more sub-workflows, i.e. individual jobs may be workflows designed to achieve a specific function.

Airflow and Cloud Composer allow teams to standardize on a single way of building and orchestrating workflows.

The design and prototype implementation of a Grid workflow management system is presented, including a set of description languages required for orchestrating abstract workflows and for mapping them onto real Grid infrastructure, as well as a workflow enactment service that executes loosely coupled Grid jobs on the Grid.

SciLuigi was used to design and orchestrate the workflow using the components schematically outlined in Fig. 5.

The KNIME workbench supports also the meta-workflow concept and enables users to easily orchestrate Computational Chemistry workflows via basic workflows in its repository.

The Kepler Project [4] offers software tools designed to orchestrate complex scientific workflows [5].

The Business Process Execution Language (BPEL) has become a popular choice for orchestrating and executing workflows in the Web environment.

Workflows may orchestrate complex scientific experiments with a large number of workflow nodes.

Many science communities are combining high performance computing and high-end data analysis platforms and methods in workflows that orchestrate large-scale simulations or incorporate them into the stages of large-scale analysis pipelines for data generated by simulations, experiments, or observations.

The use of workflows for orchestrating services and jobs within complex execution scenarios is becoming established in e-science research, but lack of interoperability between different workflow systems makes the reuse of workflows difficult, impeding the pace of adoption in academia and industry [5].

Mussel farms product quality remains a challenging problem for operational marine science: in this scenario, the model chain presented in this work, orchestrated in a workflow fashion, produces a huge amount of predicted spatially-referenced (big) data.