Visualization of the Distributed Data of Huge Volume. Assembly, Filtration, Sorting
Dmitri Manakov, Alexey Mukhachev · 2003
In this paper some possible approaches to realization of huge volumes of the data representation are considered. A filtration in association with interactiveness, problemoriented metafile generation and parallel execution of data filtration algorithms is in our opinion the most effective approach to reducing of huge volume of distributed data. One of the purpose of this work is a development of the demonstration tests for assembly, filtration, sorting of the distributed data of huge volume with the subsequent visualization. Keywords: On-line Visualization, Filtration. 1.