A Run-time System for Efficient Execution of Scientific Workflows on Distributed Environments

Scientific workflow systems have been introduced in response to the demand of researchers from several domains of science who need to process and analyze increasingly larger datasets. The design of these systems is largely based on the observation that data analysis applications can be composed as p...

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Veröffentlicht in:	International journal of parallel programming Jg. 36; H. 2; S. 250 - 266
Hauptverfasser:	Teodoro, George, Tavares, Tulio, Ferreira, Renato, Kurc, Tahsin, Meira, Wagner, Guedes, Dorgival, Pan, Tony, Saltz, Joel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.04.2008 Springer Nature B.V
Schlagworte:	Computer Science Data analysis Data processing Datasets Experiments Parallel processing Processor Architectures Software Software Engineering/Programming and Operating Systems Studies Theory of Computation Parallel computing Data-analysis Scientific workflows
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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