Dietmar Sommerfeld

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Many scenarios in medical research are predestined for grid computing. Large amounts of data in complex medical image, biosignal and genome processing demand large computing power and data storage. Integration of distributed, heterogeneous data, e.g. correlation between phenotype and genotype data are playing an essential part in life sciences. Sharing of(More)
—We describe four problems inherent to Grid scheduling that could be identified by means of measurements in the D-Grid. These problems make meta-scheduling nearly always a delicate task. In the face of this, we developed a new hybrid methodology to schedule application workflows which presumably supersedes existing methods. Our algorithm combines existing(More)
The MediGRID [1] project, which is part of the German e-Science initiative D-Grid, aims to provide a community Grid for researchers in the fields of bioinformatics, medical image processing, biomedical ontology, and clinical research applications. Users in the life science domain usually do not have a strong computer science background. Therefore, it is(More)
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