Astronomical Image Data Analysis in the Cloud

F. J. De La Mora Garcia, T. Hochin, Hiroki Nomiya
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Abstract

Earth sciences and space exploration instrument sensors are getting improved with each iteration providing us with bigger and more detailed sets of data. Though current available archiving and processing mechanisms are able to cope with current rates, forecasted enormous rates of data to be transmitted on a daily basis by each of the different instruments to be available on the near future make imperative to design mechanisms to handle, process, archive and search through the datasets as well as tools that lead to efficient data triage.
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云中的天文图像数据分析
地球科学和空间探测仪器传感器的每一次迭代都在不断改进,为我们提供了更大、更详细的数据集。虽然目前可用的归档和处理机制能够应付当前的速率,但预计在不久的将来,每一种不同的仪器每天都会传输大量的数据,因此必须设计处理、处理、归档和搜索数据集的机制,以及导致有效数据分类的工具。
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