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Translational Research Design Templates, Grid Computing, and HPC.

Joel Saltz, Scott Oster, Shannon Hastings

    Proceedings. IPDPS (Conference)
    |September 28, 2011
    PubMed
    Summary
    This summary is machine-generated.

    This study presents design templates for biomedical translational research, focusing on information discovery, analysis, and integration. It discusses requirements for Grid middleware, using caGrid as a model for future architectures.

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    Area of Science:

    • Biomedical Informatics
    • Computer Science

    Background:

    • Design templates are crucial for scientific research, particularly in handling complex information.
    • Biomedical translational research involves discovery, analysis, and integration of diverse information resources.

    Purpose of the Study:

    • To present examples of design templates from biomedical translational research.
    • To discuss the infrastructure requirements for Grid middleware supporting these templates.
    • To propose architectural directions for Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) based systems.

    Main Methods:

    • Utilized caGrid, a Grid middleware system, as a foundational example.
    • Applied Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) paradigms.
    • Analyzed common design templates in biomedical translational research.

    Main Results:

    • Identified specific design templates relevant to biomedical translational research.
    • Outlined the necessary capabilities of Grid middleware to support these templates.
    • Suggested architectural enhancements for systems like caGrid.

    Conclusions:

    • Grid middleware must be adaptable to support common scientific research design templates.
    • MDA and SOA paradigms offer a viable framework for developing such adaptable middleware.
    • Future architectures should focus on integrating information discovery, analysis, and integration functionalities.