WS-PGRADE/gUSE-Based Science Gateways in Teaching

Olabarriaga, Sílvia D.; Benabdelkader, Ammar; Caan, Matthan W.A.; Jaghoori, Mohammad Mahdi; Krüger, Jens; Garza, Luis de la; Mohr, Christopher; Schubert, Benjamin; Danezi, A.; Kiss, Tamás

doi:10.1007/978-3-319-11268-8_16

Cited by 3 publications

(1 citation statement)

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“…WS-PGRADE/gUSE is a science gateway framework widely used in various disciplines such as biology [58], seismology [84], astronomy [119], and neuroscience [120]. It is an open source software [78] used for teaching [105], research [82] and commercial activities [83].…”

Section: Ws-pgrade/gusementioning

confidence: 99%

A Survey of Data-Intensive Scientific Workflow Management

et al. 2015

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International audienceNowadays, more and more computer-based scientific experiments need to handle massive amounts of data. Their data processing consists of multiple computational steps and dependencies within them. A data-intensive scientific workflow is useful for modeling such pro- cess. Since the sequential execution of data-intensive scientific workflows may take much time, Scientific Workflow Management Systems (SWfMSs) should enable the parallel execution of data-intensive scientific workflows and exploit the resources distributed in different infrastruc- tures such as grid and cloud. This paper provides a survey of data-intensive scientific workflow management in SWfMSs and their parallelization techniques. Based on a SWfMS functional ar- chitecture, we give a comparative analysis of the existing solutions. Finally, we identify research issues for improving the execution of data-intensive scientific workflows in a multisite cloud

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