Mass-storage system for simulations and archival of observational data

高性能计算系统的计算机模拟对于理解复杂的地球过程起着至关重要的作用。此外，模拟和观测之间的联系是理解这类过程的关键。数据收集和高级建模能力的同步增长，即数据爆炸和HPC模拟的相互作用，推动了今天的地球科学建模，重点是模型和观测的定量组合。LMU慕尼黑分校的地球物理学教席处于一个极好的位置，可以利用这一发展。它一方面维护着强大的Linux计算集群系统，另一方面运营着福尔斯滕费尔德布鲁克的地球物理天文台和巴伐利亚地震服务。为模型驱动的评估过程存储和快速提供在我们设施中收集的数据需要具有高可用性、容量和访问速度的海量存储基础设施。这既适用于现场研究人员在当地的使用，也适用于提供数据以供全球访问。因此，长期维护慕尼黑LMU地球物理学教席的有效信息技术基础设施是极其重要的，因为它主要侧重于地球科学建模。因此，这项提议旨在从2013年起更新现有的大容量存储基础设施。

Computer simulations on HPC systems play a vital role for understanding complex geoprocesses. Moreover the linking of simulations and observations is key to understand such processes. The simultaneous growth of data collection and advanced modelling capabilities, i.e. the interaction of data explosion and HPC simulations, drives geoscientific modeling today with a focus on the quantitative combination of models and observations. The Chair of Geophysics at LMU Munich is in an excellent position to exploit this development. It maintains a powerful Linux computing cluster system on the one hand, and operates the Geophysical Observatory in Fuerstenfeldbruck and the Bavarian earthquake service on other hand. The storage and rapid provision of data collected at our facilities for model driven evaluation processes require a mass storage infrastructure with high availability, capacity and access speed. This applies both to local use by on site researchers, as well as to the provision of data for world-wide access. For this reason the long-term maintenance of an efficient IT infrastructure at the Chair of Geophysics LMU Munich, which is primarily focused on geoscientific modelling, is of immense importance. This proposal thus aims to refresh the existing mass storage infrastructure from 2013.