The activities are organized in a workflow architecture that supports iterative, modular, and concurrent development.
Consequently, not all the experiments in a workflow execution have necessarily contributed to the final result.
Geoprocessing services are often chained as scientific workflows and executed in a workflow engine.
Workflow systems increase productivity and quality of service; however, defects in a workflow model may have severe consequences.
The resources in a workflow environment are agents such as person, machine, software, etc. that execute the task.
Decision points, the XOR nodes in a workflow graph model, determine the path chosen toward completion of any process invocation.
Modeling various fine-grained controls using inherently dataflow-oriented actors will quickly result in a workflow that is hard to comprehend, reuse, and maintain.
Cross-enterprise communication requires not only agreements about data format and semantics, but also about orderly procedures for efficient communication between the stakeholders in a workflow.
For that purpose, the Support Vector Machine (SVM) method is used as a classification framework and it is embedded in a workflow designed for our specific goal.
The Workflow Satisfiability Problem (WSP) asks whether there exists an assignment of authorized users to the steps in a workflow specification, subject to certain constraints on the assignment.
The technique is implemented in a workflow enactment service that dynamically optimizes process execution with a very limited effort for application developer.
