Bitmap indexes for large scientific data sets: a case study

  title={Bitmap indexes for large scientific data sets: a case study},
  author={Rishi Rakesh Sinha and Soumyadeb Mitra and Marianne Winslett},
  journal={Proceedings 20th IEEE International Parallel & Distributed Processing Symposium},
  pages={10 pp.-}
The data used by today's scientific applications are often very high in dimensionality and staggering in size. These characteristics necessitate the use of a good multidimensional indexing strategy to provide efficient access to the data. Researchers have previously proposed the use of bitmap indexes for high-dimension scientific data as a way of overcoming the drawbacks of traditional multidimensional indexes such as R-trees and KD-trees, which are bulky and whose performance does not scale… CONTINUE READING
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