[Legacy Report] IEEE SMC Seminar: Guided Service Composition in Service-Oriented Scientific Grids

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Many disciplines including biology and biomedicine have adopted service computing and use scientific workflows to orchestrate data-pipelines. However, it is still challenging to provide a solution covering the full lifecycle of scientific workflows, and offer composition guidance by leveraging best practices. This talk will present caFlow, a workflow system addresses service orchestration and guided composition in cancer Biomedical Informatics Grid (caBIG). First, the presentation will cover the engineering aspect of caFlow, including its architecture and core functions such as service discovery, stateful interaction, data access, and security. The speaker will then introduce a Composition-as-a-Service (CaaS) framework supporting guided service composition. CaaS consists of two approaches, the task-driven one relies on workflow-service network analysis to provide relevant suggestions; the data-driven one uses colored Petri net (CPN) to model data relations and net decomposition to derive desired data flows.

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