A Lightweight Framework for Computational Grids in Biological Research
Author Information
Author(s): Halling-Brown Mark D, Moss David S, Shepherd Adrian J
Primary Institution: Institute of Structural and Molecular Biology, School of Crystallography, Birkbeck College
Hypothesis
Can a lightweight generic framework effectively combine disparate computational resources for biological research?
Conclusion
The proposed framework simplifies access to computational resources for large-scale biology projects, making it easier for researchers to collaborate.
Supporting Evidence
- The framework allows researchers to access a wide range of computational resources.
- It has been successfully used in the ImmunoGrid project to run various simulations.
- The system is designed to be user-friendly for non-technical users.
Takeaway
This study created a system that helps scientists use computers from different places to work together on big biology projects without needing to understand all the technical details.
Methodology
The framework integrates various computational resources using upper middleware and a web interface to facilitate job submission and monitoring.
Limitations
The framework may not provide production-quality services and requires manual intervention for some tasks.
Digital Object Identifier (DOI)
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