OSyRIS: a Nature Inspired Workflow Engine for Service Oriented Environments
Abstract
We present a nature-inspired rule-based workflow platform capable of self adaptation by following an event-condition-action approach and by integrating a dynamic resource selection relying on rule based scheduling heuristics. A language for workflows that is simple and easy to understand is introduced. The language also supports task semantics and ontology definition.
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