- Workflow basics - For those who have never heard of them
- What is workflow interoperability?
- How to get started using the SHIWA Technology? - Everything you need to start using our services
- Manuals and tutorials of the SHIWA Technology - Detailed information and screenshots
- SHIWA User Forum - The place where users and developers meet
- Overview of the SHIWA Technology - To understand what we can offer
The ER-flow project consortium includes representatives of four research areas: astrophysics, computational chemistry, heliophysics and life sciences. These communities are represented by AMC (Life Science), TUD and LMU (Computational Chemistry), UCL and TCD (Heliophysics) and INAF (Astrophysics) in ER-flow.
We are also looking for new communities to support. At the moment two new communities are supported, the Earthquake and Seismology represented by the VERCE project and the Hydro-Meteorology community represented by the DRIHMS project.
The communities use the SHIWA Simulation Platform, the SHIWA Repository and their community specific web based science gateways to integrate high impact applications from their research domain with European Distributed Computing Infrastructures. These applications will be made available as workflow applications in the SHIWA repository for members of the European Research Area, and will be used by the consortium to promote workflows and workflow-oriented collaboration service to e-science communities.
The below table provides a summary of the communities that are using the SHIWA platform.
Astronomy and Astrophysics
The porting of Astronomy and Astrophysics applications to grids started within this community in 2005 by migrating the simulations of the Planck ESA (European Space Agency) mission to the EGEE infrastructure. As a result of this simulation activity, several applications have been developed to perform further processing and analysis of actual data produced by the Planck mission when the data becomes available for the whole astronomical community. The community ported not only the Planck but several other astrophysical simulation applications to the Grid for example FLY, which is an N-body tree code is to run very big Large Scale Structure simulations of the Universe, and GADGET, which is a code for cosmological N-body/SPH (Smoothed Particle Hydrodynamics) simulations on massively parallel computers with distributed memory.
|Claudio Vuerli; Giuliano Castelli (INAF)|
Computational Chemistry (MoSGrid)
MoSGrid supports the Computational Chemistry community by developing and providing a portal based environment to access and use Distributed Computing Infrastructures. The MoSGrid portal offers several molecular simulation applications to run on the German D-Grid resources integrated by the UNICORE middleware. The portal also integrates interfaces and workflow tools based on SHIWA technology to handle and orchestrate complex molecular simulation applications. The MoSGrid community integrates additional computational chemistry workflows with the portal using services from SHIWA and ER-flow.
|Sonja Herres-Pawlis (TUD)|
Heliophysics is the study of the interaction of the Sun with the rest of the solar system. It combines several disciplines as solar, planetary, space and plasma physics, to name a few but it is also closely tied with the study of space weather (the particular case of solar events affecting on Earth and technology). Heliophysics combines several other disciplines, including branches of space physics, plasma physics, and solar physics. Heliophysics is closely tied to the study of space weather and the phenomena that affect it. Although the Heliophysics community is rather vast, in ER-flow TCD and UCL introduce those research teams which are connected mainly by the participation in the HELIO project either directly as members of the consortium or indirectly as end-users of HELIO and participants of CDAW (Coordinated Data Analysis Workshop), events where users gather to use the HELIO system and to assess its capabilities.
| Gabriele Pierantoni (TCD); |
Bob Bentley (UCL)
Biomedical applications have been executed on grid resources since the early days of the EGEE project when the biomed virtual organization (VO) was established to provide resources for all biomedical researchers in Europe. Since then several other communities have been organized, and some new VOs created. In 2010 the Life Science Grid Community (LSGC) was created as a voluntary, non-profit and lightweight organization. The currently registered 300+ users are organized into various international and regional VOs on the European Grid Infrastructure (e.g., biomed, lsgrid, vlemed, medigrid, pneumogrid) and projects (e.g.
Scalalife, NeuGrid). The users of these various organizations are contacted during the ER-flow project and serve as target for dissemination activities, application porting, and consultation about requirements. AMC, member of the LSGC steering board, is representing the life sciences community in the ER-flow project.
|Silvia Olabarriaga (AMC)|
Earthquake and SeismologyThe earthquake and seismology research communities are represented and supported by the "Virtual Earthquake and seismology Research Community in Europe e-science environment" (VERCE) FP7 project . The community addresses fundamental problems in understanding the Earth's internal wave sources and properties, thereby aiding society in the management of natural hazards, energy resources, environmental changes, and national security. VERCE is supporting this effort by developing a data-intensive e-science environment to enable innovative data analysis and data modelling methods that fully exploit the increasing wealth of open data generated by the observational and monitoring systems of the global seismology community. VERCE will provide an incentive collaborative environment between seismology and computer scientists, system architects and data-aware engineers, fostering the emergence of a new generation of 'research technologists' with sustained mastery for data-handling methods and a thorough understanding of the research goals.
The Distributed Research Infrastructure for Hydro-Meteorology Study (DRIHMS) project intends to develop a prototype e-Science environment to facilitate this collaboration and provide end-to-end HMR services (models, datasets and post-processing tools) at the European level, with the ability to expand to global scale. The objectives of DRIHM are to lead the definition of a common long-term strategy, to foster the development of new HMR models and observational archives for the study of severe hydrometeorological events, to promote the execution and analysis of high-end simulations, and to support thviaxxsettembre2e dissemination of predictive models as decision analysis tools.
At the heart of this challenge, as also suggested by the Distributed Research Infrastructure for Hydro-Meteorology Study (DRIHMS) project, lies the ability to have easy access to hydrometeorological data and models, and facilitate the collaboration between meteorologists, hydrologists, and Earth science experts for accelerated scientific advances in hydrometeorological research (HMR).
Antonio Parodi (CIMA RESEARCH FOUNDATION)