HEAVEN: A Hierarchical Storage and Archive Environment for Multidimensional Array Database Management Systems
The intention of this paper is to present HEAVEN, a solution of intelligent management of large-scale datasets held on tertiary storage systems. We introduce the common state of the art technique storage and retrieval of large spatio-temporal array data in the High Performance Computing (HPC) area. An identified major bottleneck today is fast and efficient access to and evaluation of high performance computing results. We address the necessity of developing techniques for efficient retrieval of requested subsets of large datasets from mass storage devices. Furthermore, we show the benefit of managing large spatio-temporal data sets, e.g. generated by simulations of climate models, with Database Management Systems (DMBS). This means DBMS need a smart connection to tertiary storage systems with optimized access strategies. HEAVEN is based on the multidimensional array DBMS RasDaMan.
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