Chaining Geographic Information Web Services
IEEE Internet Computing
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Scheduling of scientific workflows in the ASKALON grid environment
ACM SIGMOD Record
Integrating Semantic and Syntactic Descriptions to Chain Geographic Services
IEEE Internet Computing
Semantics-based automatic composition of geospatial Web service chains
Computers & Geosciences
Semantically-assisted geospatial workflow design
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
QoS-Constrained Stochastic Workflow Scheduling in Enterprise and Scientific Grids
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Cost and accuracy sensitive dynamic workflow composition over grid environments
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Knowledge representation in the semantic web for Earth and environmental terminology (SWEET)
Computers & Geosciences
Enabling Ad Hoc Queries over Low-Level Scientific Data Sets
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Elastic Cloud Caches for Accelerating Service-Oriented Computations
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
An approach towards automatic workflow composition through information retrieval
Proceedings of the 15th Symposium on International Database Engineering & Applications
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With the advent of the data grid came a novel distributed scientific computing paradigm known as service-oriented science. Among the plethora of systems included under this framework are scientific workflow management systems, which enable large-scale process scheduling and execution. To ensure quality of service, these systems typically seek to minimize workflow execution time as well as costs for slices of data grid access. The geospatial domain, among other sciences, involves yet another optimization factor, the accuracy of results. The relationship between execution time and workflow accuracy can often be exploited to offer more flexibility in handling user preferences. We present a system which meets user constraints through a dynamic adjustment of the accuracy of workflow results.