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Characterizing global user download behavior on a large-scale satellite image distribution system

机译:表征大型卫星图像分发系统上的全球用户下载行为

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Data explosion in the 21st century has seen the growth of massive online content distribution systems. These incredibly large-scale systems utilize vast datasets to provide a myriad of utilities to users. In order to keep up with the high volume of complex, diverse requests being generated by their users, efficient management of data is of critical importance. However, understanding and categorizing the behavior of users worldwide is a complex task requiring a thorough understanding of the workflow they generate. In this paper, we examine and visualize over 5 million lines of real-world requests provided by the U.S. Geological Survey. We identify three distinct patterns in user requests that may be useful in developing intelligent prefetching methods.
机译:21世纪的数据爆炸式增长见证了庞大的在线内容分发系统的发展。这些难以置信的大规模系统利用庞大的数据集为用户提供了无数种实用程序。为了跟上用户所产生的大量复杂,多样化的请求,高效的数据管理至关重要。但是,了解和分类全世界用户的行为是一项复杂的任务,需要对他们生成的工作流有透彻的了解。在本文中,我们检查并可视化了美国地质调查局提供的超过500万行的实际请求。我们在用户请求中确定了三种不同的模式,这些模式可能对开发智能预取方法很有用。

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