CORDIS
EU research results

CORDIS

English EN
SHaring Interoperable Workflows for large-scale scientific simulations on Available DCIs

SHaring Interoperable Workflows for large-scale scientific simulations on Available DCIs

Objective

Researchers of all disciplines, from Life Sciences and Astronomy to Computational Chemistry, create and use ever-increasing amounts of complex data, and rely more and more on compute-intensive modelling, simulation and analysis. Scientific workflows have become a key paradigm for managing complex tasks and have emerged as a unifying mechanism for handling scientific data. Workflows capture the essence of the scientific process, providing a means to describe it via logical data- or work-flows. Workflows are mapped onto concrete Distributed Computing Infrastructures (DCIs) to perform large-scale experiments. The learning curve for reusing workflows, however, is still steep because workflows typically have their own user interfaces/APIs, description languages, provenance strategies, and enactment engines, which are not standard and do not interoperable. Workflow integration or reuse therefore is currently impractical, thereby inhibiting the growth in uptake and proliferation of workflows in scientific practice.
The SHIWA project aims to leverage existing solutions and enable cross-workflow and inter-workflow exploitation of DCIs by applying both coarse- and fine-grained strategies. The coarse-grained approach treats workflow engines as distributed black box systems, where complete sub-workflows are sent to pre-existing enactment engines. The fine-grained approach addresses language interoperability by defining an intermediate representation to be used for translation of workflows across systems (currently selected: ASKALON, Pegasus, P-Grade, MOTEUR, Triana). SHIWA will develop, deploy and operate the SHIWA Simulation Platform to offer users production-level services supporting workflow interoperability following both approaches. A Repository will facilitate publishing and sharing of workflows, and a Portal will enable their actual enactment. Three use cases based on medical imaging applications will serve to drive and evaluate this platform from a user's perspective

Coordinator

MAGYAR TUDOMANYOS AKADEMIA SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET

Address

Kende Utca 13-17
1111 Budapest

Hungary

Activity type

Research Organisations

EU Contribution

€ 452 510

Administrative Contact

Eva Feuer (Ms.)

Participants (6)

Sort alphabetically

Sort by EU Contribution

Expand all

UNIVERSITAET INNSBRUCK

Austria

EU Contribution

€ 243 735

CHARITE - UNIVERSITAETSMEDIZIN BERLIN

Germany

EU Contribution

€ 125 749

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

EU Contribution

€ 294 574

Academisch Medisch Centrum bij de Universiteit van Amsterdam

Netherlands

EU Contribution

€ 122 805

THE UNIVERSITY OF WESTMINSTER LBG

United Kingdom

EU Contribution

€ 313 226

CARDIFF UNIVERSITY

United Kingdom

EU Contribution

€ 247 401

Project information

Grant agreement ID: 261585

Status

Closed project

  • Start date

    1 July 2010

  • End date

    30 September 2012

Funded under:

FP7-INFRASTRUCTURES

  • Overall budget:

    € 2 101 980

  • EU contribution

    € 1 800 000

Coordinated by:

MAGYAR TUDOMANYOS AKADEMIA SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET

Hungary