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Today's Large-Scale Science depends on Network Data Movement based on Twenty Five Years of Technology Development

机译:今天的大型科学取决于基于技术开发二十五年的网络数据运动

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Today's large-scale science projects all involve world-wide collaborations that routinely move 10s of petabytes per year between international sites. The capabilities required to support this scale of data movement have involved hardware and software developments at all levels: Wire/fiber signal transport, layer 2 transport (e.g. Ethernet), data transport (TCP is still the norm), operating system evolution, data movement and management techniques and software, and in the science applications. With each generation of network transport technology (155 Mb/s was the norm for high speed networks in 1995, 100 Gb/s - 700 times greater - is the norm today) R&D groups, involving hardware engineers, computer scientists, and application specialists, worked to first demonstrate in a research environment that "filling the network pipe" was possible, as well as having the ability to carry out the development necessary for applications to make use of the new capabilities. This paper surveys the progress made over the past several decades toward building an infrastructure that enables large scale "data-intensive" science.
机译:今天的大型科学项目都涉及全球合作,在国际网站之间每年常常移动10岁的卑鄙。支持这种数据移动规模所需的功能涉及所有级别的硬件和软件开发:线/光纤信号传输,第2层传输(例如以太网),数据传输(TCP仍然是常态),操作系统演化,数据移动和管理技术和软件,以及在科学应用中。随着每代网络运输技术(155 MB / s 1995年的高速网络规范,100 GB / S-700倍 - 是当今的规范)研发团体,涉及硬件工程师,计算机科学家和应用专家,在第一次演示中,在一个“填充网络管道”的研究环境中,以及能够开展应用程序利用新功能所需的开发。这篇论文调查了过去几十年来建立一个实现大规模“数据密集型”科学的基础设施所取得的进展。

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