On Building Scientific Workflow Systems for Data Management in the Cloud
- 1 December 2008
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Scientific workflows have become an archetype to model in silico experiments in the Cloud by scientists. There is a class of workflows that are used to by "data valets" to prepare raw data from scientific instruments into a science-ready form for use by scientists. These share data-intensive traits with traditional scientific workflows, yet differ significantly, for example, in the required degree of reliability and the type of provenance collected. We compare and contrast science application and data valet workflows through exemplar eScience projects to drive shared and unique requirements for scientific workflows across diverse users in a Science Cloud.Keywords
This publication has 4 references indexed in Scilit:
- Fluxdata.org: Publication and Curation of Shared Scientific Climate and Earth Sciences DataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- GrayWulf: Scalable Software Architecture for Data Intensive ComputingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Trident: Scientific Workflow Workbench for OceanographyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- e-Science in the Cloud with CARMENPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007