Safe Distribution And Parallel Execution Of Data-Centric Workflows Over The Publish/Subscribe Abstraction

We present a unique representation of data-centric workflows, designed to exploit the loosely coupled nature of publish/subscribe systems to enable their safe distribution and parallel execution. We argue for the practicality of our approach by mapping a standard and industry-strength data-centric workflow model, namely, IBM Business Artifacts with Guard-Stage-Milestone (GSM), into the publish/subscribe abstraction.