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Fine-grain interoperability of scientific workflows in distributed computing infrastructures

Plankensteiner, Kassian, Prodan, Radu, Janetschek, Matthias, Fahringer, Thomas, Montagnat, Johan, Rogers, David, Harvey, Ian, Taylor, Ian, Balaskó, Ákos and Kacsuk, Péter 2013. Fine-grain interoperability of scientific workflows in distributed computing infrastructures. Journal of Grid Computing 11 (3) , pp. 429-455. 10.1007/s10723-013-9261-8

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Abstract

Today there exist a wide variety of scientific workflow management systems, each designed to fulfill the needs of a certain scientific community. Unfortunately, once a workflow application has been designed in one particular system it becomes very hard to share it with users working with different systems. Portability of workflows and interoperability between current systems barely exists. In this work, we present the fine-grained interoperability solution proposed in the SHIWA European project that brings together four representative European workflow systems: ASKALON, MOTEUR, WS-PGRADE, and Triana. The proposed interoperability is realised at two levels of abstraction: abstract and concrete. At the abstract level, we propose a generic Interoperable Workflow Intermediate Representation (IWIR) that can be used as a common bridge for translating workflows between different languages independent of the underlying distributed computing infrastructure. At the concrete level, we propose a bundling technique that aggregates the abstract IWIR representation and concrete task representations to enable workflow instantiation, execution and scheduling. We illustrate case studies using two real-workflow applications designed in a native environment and then translated and executed by a foreign workflow system in a foreign distributed computing infrastructure.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer
ISSN: 1570-7873
Funders: EC
Last Modified: 04 Jun 2017 09:14
URI: http://orca-mwe.cf.ac.uk/id/eprint/92386

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