Recipes for Baking Black Forest Databases
Lecture Notes in Computer ScienceScientific and Statistical Database Management(2011)
摘要
Large-scale N-body simulations play an important role in advancing our understanding of the formation and evolution of large
structures in the universe. These computations require a large number of particles, in the order of 10-100 of billions, to
realistically model phenomena such as the formation of galaxies. Among these particles, black holes play a dominant role on
the formation of these structure. The properties of the black holes need to be assembled in merger tree histories to model
the process where two or more black holes merge to form a larger one. In the past, these analyses have been carried out with
custom approaches that no longer scale to the size of black hole datasets produced by current cosmological simulations. We
present algorithms and strategies to store, in relational databases (RDBMS), a forest of black hole merger trees. We implemented
this approach and present results with datasets containing 0.5 billion time series records belonging to over 2 million black
holes. We demonstrate that this is a feasible approach to support interactive analysis and enables flexible exploration of
black hole forest datasets.
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关键词
Black Hole, Tree Size, Monthly Notice, Relational Database Management System, Royal Astronomical Society
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