Data Management Challenges of Data-Intensive Scientific Workflows

May 19-May 22

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http://doi.ieeecomputersociety.org/10.1109/CCGRID.2008.24

2008 Eighth IEEE International Sympos ...

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	Ewa Deelman, Ann Chervenak, "Data Management Challenges of Data-Intensive Scientific Workflows," Cluster Computing and the Grid, IEEE International Symposium on, pp. 687-692, 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID), 2008.

	BibTex	x
	@article{ 10.1109/CCGRID.2008.24, author = {Ewa Deelman and Ann Chervenak}, title = {Data Management Challenges of Data-Intensive Scientific Workflows}, journal ={Cluster Computing and the Grid, IEEE International Symposium on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3156-4}, pages = {687-692}, doi = {http://doi.ieeecomputersociety.org/10.1109/CCGRID.2008.24}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Cluster Computing and the Grid, IEEE International Symposium on TI - Data Management Challenges of Data-Intensive Scientific Workflows SN - 978-0-7695-3156-4 SP687 EP692 A1 - Ewa Deelman, A1 - Ann Chervenak, PY - 2008 KW - scientific workflows KW - data management KW - distributed computing VL - 0 JA - Cluster Computing and the Grid, IEEE International Symposium on ER -

Ewa Deelman

Ann Chervenak

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.

Index Terms:

scientific workflows, data management, distributed computing

Citation:

Ewa Deelman, Ann Chervenak, "Data Management Challenges of Data-Intensive Scientific Workflows," ccgrid, pp.687-692, 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID), 2008

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