A science-gateway workload archive application to the self-healing of workflow incidents

Information about the execution of distributed workload is important for studies in computer science and engineering, but workloads acquired at the infrastructure-level reputably lack information about users and application-level middleware. Meanwhile, workloads acquired at science-gateway level contain detailed information about users, pilot jobs, task sub-steps, bag of tasks and workflow executions. In this work, we present a science-gateway archive, we illustrate its possibilities on a few case studies, and we use it for the autonomic handling of workflow incidents.

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