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

机译:云环境中科学工作流程预设阶段数据布局方法研究

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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.
机译:云环境中科学工作流的数据放置是减少数据传输的关键。跨数据中心的数据流不仅导致时间开销,而且影响科学工作流程的效率。鉴于这种情况,本文介绍了更有效的数据放置布局策略来放置数据而不是传统的数据聚类方法,考虑数据群集的初始状态,以生成初始质心,然后基于与与程度相关的数据群集数据,导致布局方案。实验表明,该策略可以有效降低数据之间的交叉数据流程,提高科学工作流程的效率。

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