NDLI: User-steering of HPC workflows: state-of-the-art and future directions

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User-steering of HPC workflows: state-of-the-art and future directions

Content Provider	ACM Digital Library
Author	Araújo, Igor Horta, Felipe Ocaña, Kary Ogasawara, Eduardo Dias, Jonas de Oliveira, Daniel Costa, Flavio Mattoso, Marta Silva, Vitor
Abstract	In 2006 a group of leading researchers was gathered to discuss several challenges to scientific workflow supporting technologies and many of which still remain open challenges, such as the steering of workflows by users. Due to big data and long lasting workflows, many users demand steering features such as real-time monitoring, analysis and specially execution interference. The workflow execution should respond dynamically to such interference in the execution, to support the experimentation process in high performance computing. This paper revisits the issues in the user steering and dynamic workflows, presenting the state-of-the-art in it, and the open challenges. Our goal is to discuss research issues related to scientists' steering and present some ideas on how these demands may be supported in current scientific workflow technologies.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450323499
DOI	10.1145/2499896.2499900
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-06-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Provenance Steering Scientific workflows
Content Type	Text
Resource Type	Article

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