A novel domain oriented approach for scientific grid workflow composition
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
A novel graph based approach for automatic composition of high quality grid workflows
Proceedings of the 18th ACM international symposium on High performance distributed computing
Grid Workflow Modeling for Remote Sensing Retrieval Service with Tight Coupling
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
A practical approach to developing a web-based geospatial workflow composition and execution system
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
Scheduling parameter sweep workflow in the Grid based on resource competition
Future Generation Computer Systems
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Hyperspectral image processing based on Grid computing technology is attractive due to the large data volumes of hyperspectral images and intensive computation requirements for processing. Many existing Grid workflow tools do not provide integrated visual workflow composition environments and/or do not have workflow validation mechanisms to ensure structural and semantic correctness of composed Grid workflows. In this study, we use Kepler scientific workflow system to compose and validate hyperspectral image processing Grid workflows due to its integrated workflow composition environment, rich support for Grid computing and built-in infrastructures for structural and semantic workflow validations. We have developed workflow component ontology and data type ontology and plugged them into Kepler. Experiments have been performed to demonstrate the feasibility and effectiveness of the proposed approach.