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CCGRID
2008
IEEE

Data Management Challenges of Data-Intensive Scientific Workflows

9 years 3 months ago
Data Management Challenges of Data-Intensive Scientific Workflows
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. Much research to-date focuses on efficient, scalable, and robust workflow execution, especially in distributed environments. However, many challenges remain in the area of data management related to workflow creation, execution, and result management. In this paper we examine some of these issues in the context of the entire workflow lifecycle.
Ewa Deelman, Ann L. Chervenak
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CCGRID
Authors Ewa Deelman, Ann L. Chervenak
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