Workflows for e-Science, Scientific Workflows for Grids

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The design and realisation of the myExperiment Virtual Research Environment for social sharing of workflows (2009, methodology): “Triana is also being integrated.”
Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud (2011, methodology): “Building upon components like CoG Karajan [26], Falkon [21], and Globus [12], the authors present a scripting language which allows to create mappings between logical and physical data structures and to conveniently assign tasks to these.”
Examining the Challenges of Scientific Workflows (2007, background): “Workflows can capture complex analysis processes at various levels of abstraction, and also provide the provenance information necessary for scientific reproducibility, result publication, and result sharing among collaborators.”
A market-oriented hierarchical scheduling strategy in cloud workflow systems (2011, background): “Moreover, with the increasing demand for process automation in the cloud, especially for large-scale collaborative and distributed e-business and e-science applications [13, 24, 38], the investigation on cloud workflow scheduling strategies is becoming a significant issue not only in the area of clo”