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Running data-intensive scientific workflow across multiple data centers faces massive data transfer problem which leads to low efficiency in actual workflow application for scientists. By considering data size and data dependency, we propose a k-means algorithm based initial data placement strategy that places the most related initial data sets into the same data center at workflow preparation stage...
A new block inverse Hough transform algorithm based on boundary trend prediction is proposed. Suppose there is only one main boundary, which can be expressed in several straight line segments. Several image blocks along the boundary are extracted. For each image block, the algorithm will use the IHT to reconstruct the pixels of main lines, which can best reflect the characteristics of the corresponding...
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