建造世界上最大的射电望远镜:平方公里阵列科学数据处理器

J. Farnes, B. Mort, F. Dulwich, K. Adámek, Anna Brown, Jan Novotný, S. Salvini, W. Armour
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引用次数: 3

摘要

平方公里阵列(SKA)将是迄今为止建造的最大的射电望远镜,也是已知宇宙中最大的大数据项目。该项目的第一阶段将每秒产生160tb的数据。这相当于该设施每年将产生5zb(500万拍字节)的数据,数据速率相当于2015年全球互联网流量的5倍。这些数据需要被简化,然后被SKA科学数据处理器(SDP)不断地吸收。在SDP联盟中,我们在望远镜的开发中扮演着不同的角色,包括构建SDP系统主要组件的轻量级端到端原型-我们称之为SDP集成原型(SIP)的项目。我们的目标是建立一个小型的、全功能的SDP,为此我们一直在开发类似ska的科学管道,可以处理这些前所未有的数据量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building the World's Largest Radio Telescope: The Square Kilometre Array Science Data Processor
The Square Kilometre Array (SKA) will be the largest radio telescope constructed to date and the largest Big Data project in the known Universe. The first phase of the project will generate 160 terabytes every second. This amounts to 5 zettabytes (5 million petabytes) of data that will be generated by the facility each year - a data rate equivalent to 5 times the estimated global internet traffic in 2015. These data need to be reduced and then continuously ingested by the SKA Science Data Processor (SDP). Within the SDP Consortium, we are contributing to various roles in the development of the telescope including building a lightweight end-to-end prototype of the major components of the SDP system - a project we call the SDP Integration Prototype (SIP). The aim is to build a mini, fully-operational SDP, for which we have been developing realistic SKA-like science pipelines that can handle these unprecedented data volumes.
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