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The data placement of scientific workflow in the cloud environment has been the key to reducing data transmission. The flow of data across data centers not only leads to time overhead but also affects the efficiency of scientific workflow. In view of this situation, this paper, presented a more effective data placement layout strategy to place data than the traditional data clustering method, considers the initial state of data clustering to generate initial centroid, and then based on the data related to the degree of clustering data, resulting in layout scheme. The experiments show that this strategy can effectively reduce the cross-data flow between data and improve the efficiency of scientific workflow.

Research on Data Layout Method of Scientific Workflow Pre-placement Stage in Cloud Environment