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Dynamic steering of HPC scientific workflows: A survey
Affiliation:1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. School of Computer Science and Technology, East China Normal University, Shanghai 200241, China;3. Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai 200062, China
Abstract:The field of scientific workflow management systems has grown significantly as applications start using them successfully. In 2007, several active researchers in scientific workflow developments presented the challenges for the state of the art in workflow technologies at that time. Many issues have been addressed, but one of them named ‘dynamic workflows and user steering’ remains with many open problems despite the contributions presented in the recent years. This article surveys the early and current efforts in this topic and proposes a taxonomy to identify the main concepts related to addressing issues in dynamic steering of high performance computing (HPC) in scientific workflows. The main concepts are related to putting the human-in-the-loop of the workflow lifecycle, involving user support in real-time monitoring, notification, analysis and interference by adapting the workflow execution at runtime.
Keywords:Steering  Scientific workflows  Dynamic workflows  Cloud computing  HPC
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