Parallel Indexing of Large Multi-dimensional Data

Abstract

This paper proposes two methods of indexing a large amount of data in order to resolve the issues about time limitation and size limitation. One is the method that an index is created one by one. When the size of an index reaches the limitation, a new index is created. The other is the method that several indexes are created in advance. Data are inserted… (More)

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Cite this paper

@article{Funaki2013ParallelIO, title={Parallel Indexing of Large Multi-dimensional Data}, author={Kenta Funaki and Teruhisa Hochin and Hiroki Nomiya and Hideya Nakanishi and Mamoru Kojima}, journal={2013 Second IIAI International Conference on Advanced Applied Informatics}, year={2013}, pages={324-329} }