首页> 外文会议>Conference on Optimizing Scientific Return for Astronomy through Information Technologies; 20040624-20040625; Glasgow; GB >Remote Distributed Pipeline Processing of GONG Helioseismic Data: Experience and Lessons Learned
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Remote Distributed Pipeline Processing of GONG Helioseismic Data: Experience and Lessons Learned

机译:龚氏地震数据的远程分布式管道处理:经验和教训

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The Global Oscillation Network Group (GONG) helioseismic network can create images of the farside of the Sun which frequently show the presence of large active regions that would be otherwise invisible. This ability to "see" through the sun is of potential benefit to the prediction of solar influences on the Earth, provided that the data can be obtained and reduced in a timely fashion. Thus, GONG is developing a system to A) perform initial data analysis steps at six geographically distributed sites, B) transmit the reduced data to a home station, C) perform the final steps in the analysis, and D) distribute the science products to space weather forecasters. The essential requirements are that the system operate automatically around the clock with little human intervention, and that the science products be available no more than 48 hours after the observations are obtained. We will discuss the design, implementation, testing, and current status of the system.
机译:全球涛动网络集团(GONG)的减震网络可以创建太阳远端的图像,这些图像经常显示出大的活动区域的存在,否则这些区域是不可见的。只要能够及时获取和减少数据,这种通过太阳“看见”的能力就可以预测太阳对地球的影响。因此,GONG正在开发一个系统,以便A)在六个地理位置分散的站点执行初始数据分析步骤,B)将缩减后的数据发送到本地站点,C)执行分析的最后步骤,以及D)将科学产品分发到太空天气预报员。基本要求是该系统无需人工干预即可全天候自动运行,并且科学产品在获得观测结果后的48小时内可用。我们将讨论系统的设计,实现,测试和当前状态。

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