Data driven workflow planning in cluster management systems

Abstract

Traditional scientific computing has been associated with harnessing computation cycles within and across clusters of machines. In recent years, scientific applications have become increasingly data-intensive. This is especially true in the fields of astronomy and high energy physics. Furthermore, the lowered cost of disks and commodity machines has led to… (More)
DOI: 10.1145/1272366.1272383

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