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https://issues.apache.org/jira/browse/AIRAVATA-2717?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16411558#comment-16411558
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Marcus Christie commented on AIRAVATA-2717:
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[~dimuthuupe], do we need two levels of workflows? The static workflow that the
orchestrator defines is for running an Application. Do we want a higher level
workflow for chaining together multiple Applications? I guess a higher level
workflow dealing with Applications would be more user friendly.
> [GSoC] Resurrect User-Defined Airavata Workflows
> -------------------------------------------------
>
> Key: AIRAVATA-2717
> URL: https://issues.apache.org/jira/browse/AIRAVATA-2717
> Project: Airavata
> Issue Type: Epic
> Affects Versions: 0.17
> Reporter: Suresh Marru
> Priority: Major
> Labels: gsoc2018
>
> Airavata used to support user-defined workflows using an interface XBaya to
> drag and drop application components to a workspace and define data flow and
> control flow dependencies among the application nodes. Airavata's workflow
> system was used for composing, executing, and monitoring workflow graphs
> primarly web service components. The workflow description was high level
> abstraction and used to be converted to lower level execution run times like
> BPEL, SCUFL and Python scripts.
>
> Airavata has evolved significantly and the current development version is
> being built-over Apache Helix for DAG orchestration. This provides an
> opportunity to resurrect workflow capabilities in Airavata.
> This GSoC project involves finalizing a Airavata Workflow Language; modify
> the orchestrator to parse user described workflow and translate to equivalent
> Helix DAG's; execute and monitor the worklfows; develop a simple UI to
> demonstrate the capabilities.
> To describe the workflows, you can build on this -
> [https://docs.google.com/document/d/1eh7BV8CHupxyM2jeqcM2tUG5MnXFt7hNDX4PQDfxCcM/edit]
> or follow other discussions like -
> https://issues.apache.org/jira/browse/AIRAVATA-2555 and
> User community & Impact of the software: Airavata is primarily targeted to
> build science gateways using computational resources from various
> disciplines. The initial targeted set of gateways include projects supporting
> research and education in chemistry, biophysics, and geosciences . The goal
> of airavata is to enhance productivity of these gateways to utilize
> cyberinfrastructure of resources (e.g., local lab resources, the Extreme
> Science and Engineering Discovery Environment (XSEDE), University Clusters,
> Academic and Commercial Computational Clouds.
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