Safe distribution and parallel execution of data-centric workflows over the publish/subscribe abstraction
| Autor: | Mohammad Sadoghi, Martin Jergler, Hans-Arno Jacobsen, Richard Hull, Roman Vaculin |
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| Rok vydání: | 2016 |
| Předmět: |
Distributed database
Semantics (computer science) Computer science business.industry Distributed computing 02 engineering and technology Workflow model Database-centric architecture Computer Science Applications Data modeling World Wide Web Workflow Computational Theory and Mathematics GSM 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Software engineering business Representation (mathematics) Publication Information Systems Abstraction (linguistics) |
| Zdroj: | ICDE |
| DOI: | 10.1109/icde.2016.7498393 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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