2020
DOI: 10.1051/epjconf/202024506041 View full text |Buy / Rent full text
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Abstract: We introduce the feasibility of running hybrid analysis pipelines in the REANA reproducible analysis platform. The REANA platform allows researchers to specify declarative computational workflow steps describing the analysis process and to execute analysis workload on remote containerised compute clouds. We have designed an abstract job controller component permitting to execute different parts of the analysis workflow on different compute backends, such as HTCondor, Kubernetes and SLURM. We have prototyped th… Show more

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“…For example, to use another computing backend, the user only has to change the compute_backend clause in the workflow step configuration, and REANA will take care of dispatching jobs as necessary. A hybrid workflow execution (Rodríguez et al, 2020), where different steps of the workflow are dispatched to different compute backends, is also supported. This allows users to use HTCondor high-throughput compute backend for processing large data sets all the while seamlessly switching to Kubernetes for producing final plots.…”
Section: Reana Reproducible Analysis Platformmentioning
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“…For example, to use another computing backend, the user only has to change the compute_backend clause in the workflow step configuration, and REANA will take care of dispatching jobs as necessary. A hybrid workflow execution (Rodríguez et al, 2020), where different steps of the workflow are dispatched to different compute backends, is also supported. This allows users to use HTCondor high-throughput compute backend for processing large data sets all the while seamlessly switching to Kubernetes for producing final plots.…”
Section: Reana Reproducible Analysis Platformmentioning