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质过程起着至关重要的作用。此外，将模拟和观测联系起来是理解这些过程的关键。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结合。慕尼黑大学的地球物理学主席是利用这一发展的绝佳人选。它一方面维护着一个强大的Linux计算集群系统，另一方面运营着Fuerstenfeldbruck的地球物理观测站和巴伐利亚地震服务。存储和快速提供在我们的设施中收集的数据，用于模型驱动的评估过程，需要具有高可用性、容量和访问速度的大容量存储基础设施。这既适用于现场研究人员的本地使用，也适用于为全球访问提供数据。因此，长期维护慕尼黑大学地球物理系主任的高效IT基础设施（主要专注于地球科学建模）是非常重要的。因此，该提案旨在从2013年开始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.