Overview of Grid Computing
Grid computing provides the ability to perform higher throughput computing by taking advantage of many networked computers to form the equivalent of a virtual 'super computer'. Grid computing utilizes the unused capacity of many separate computers connected by a network to solve large-scale computational problems. With grid computing, organizations can collaborate and pool both internal and trusted external computer resources to tackle projects that require an extremely large capacity of computing power.
Grid Computing Organizations
Some of the key organizations involved with grid solutions and activities include:
- Globus Alliance - www.globus.org
- HealthGrid - www.healthgrid.org
- Open Grid Forum (OGF) – www.ogf.org
- Open Science Grid (OSG) Consortium - www.opensciencegrid.org
- World Community Grid - www.worldcommunitygrid.org
Grid Publications
The following are a few selected publications focused exclusively on grids that one should consider looking over:
Grids in Health Care
Grids are being used in healthcare in a number of ways. There are at least three types of grids that have emerged. There are: (1) computational grids being used to solve large-scale computation problems in healthcare research; (2) data grids that don’t share computing power but instead provide a standardized way to swap data internally and externally for data mining and decision support; and (3) collaborative grids that let dispersed users share information and work together on extremely large data sets.
Some specific examples of collaborative 'open' grid projects in the field of bioinformatics and health care include:
- BioSimGrid - www.biosimgrid.org
- BIRN Cardiovascular Research Grid - http://www.birncommunity.org/current-users/cvrg/
- Folding@Home - http://folding.stanford.edu
- Sealife Project - http://www.biotec.tu-dresden.de/sealife
- Cancer Biomedical Informatics Grid (caBIG) - http://cabig.nci.nih.gov
- FightAIDS@Home - http://fightaidsathome.scripps.edu
- Virolab Grid - http://www.virolab.org/about-virolab.html
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