Acquisition of a Data Depot Network for Wide Area, Data Intensive Collaboration

一个由范德比尔特大学领导的合作实验室提议开发一个研究和教育数据仓库网络（REDDnet），以满足对共享广域存储基础设施的需求，在该基础设施中，数据流可以被缓冲以进行协作处理，包括分析，还原，可视化和探索。当科学或其他数据的数量变得很大时，一般的“数据物流”问题就会出现，每天达到1 TB或更多。 高性能网络可以帮助用户更快地移动数据，但用户通常没有地方可以放下他们的TB来处理数据或与他人共享数据。 REDDnet将由一组八个大型存储节点组成，战略性地分布在全国高性能研究网络中，并配置了分布式存储管理技术，称为Logistics Networking（LN），专门用于解决数据物流的主要问题。它的预计容量超过320 TB，将由一组研究人员和教育工作者使用，他们需要管理大型数据集，并需要进行分布式协作。REDDnet的首批用户包括两个“千万亿次”粒子物理学实验，全世界约有5000名合作者，（ATLAS和CMS），全国性的社区（AmericaView）从卫星传感器中挖掘信息，由八所大学和橡树岭国家实验室组成的联盟对超新星进行大规模模拟（Terascale Supernova Initiative），以及范德比尔特和劳伦斯伯克利国家实验室之间的合作努力，研究生物分子的结构（大型高分子组装体的图像重建）。 降排网的两个主要组织合作者-范德比尔特的研究和教育高级计算中心（ACCRE）和AmericaView（AV）-具有教育使命和正在开展的活动，完全有能力利用降排网在教育和外联方面的巨大潜力。

A Vanderbilt University-led collaboratory proposes to develop a Research and Education Data Depot Network (REDDnet) in response to the need for a shared, wide-area storage infrastructure where data flows can be buffered for collaborative processing, including analysis, reduction, visualization, exploration. The general "data logistics" problem arises when quantities of scientific or other data become large, at the level of 1TB or more per day. High performance networks help users move their data faster, but users routinely have nowhere to put their terabyte down to work on it or share it with someone. REDDnet will consist of a set of eight large storage nodes, strategically positioned across the nation's high performance research networks, and configured with a distributed storage management technology, called Logistical Networking (LN), expressly designed to attack major problems of data logistics. With more than 320 TB of projected capacity, it will be used by a diver set of researchers and educators with large datasets to manage and an established need for distributed collaboration. The initial group of REDDnet users includes two "petascale" particle physics experiments with approximately 5000 collaborators world-wide, (ATLAS and CMS), a nationwide community (AmericaView) mining information from satellite-based sensors, a consortium of eight universities and Oak Ridge National Laboratory doing large scale simulations of supernovas (the Terascale Supernova Initiative), and a collaborative effort between a Vanderbilt and Lawrence Berkeley National Laboratory investigating the structure of biological molecules (Image Reconstruction of Large Macromolecular Assemblies). The two main organizational collaborators in REDDnet, Vanderbilt's Advanced Computing Center for Research and Education (ACCRE) and AmericaView (AV), have educational missions and ongoing activities that are well positioned to exploit the significant potential of REDDnet for education and outreach.