Abstract
In this work, we develop an approach for the safe distribution and parallel execution of data-centric workflows over the publish/subscribe abstraction. In essence, we design a unique representation of data-centric workflows, specifically designed to exploit the loosely coupled and distributed nature of publish/subscribe systems. Furthermore, we argue for the practicality and expressiveness 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. In short, the contributions of this work are three-fold: (1) mapping of data-centric workflows into publish/subscribe to achieve distributed and parallel execution; (2) detailed theoretical analysis of the mapping; and (3) formulation of the complexity of the optimal workflow distribution over the publish/subscribe abstraction as an NP-hard problem.
| Original language | English |
|---|---|
| Article number | 7097086 |
| Pages (from-to) | 2824-2838 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Knowledge and Data Engineering |
| Volume | 27 |
| Issue number | 10 |
| DOIs | |
| State | Published - 1 Oct 2015 |
| Externally published | Yes |
Keywords
- Data-centric workflows
- business artifacts
- case-management
- publish/subscribe
- workflow distribution