Dr. Darrell Long

Examining Extended and Scientific Metadata for Scalable Index Designs

Proceedings of the Sixth Annual International Systems and Storage Conference (SYSTOR)

June 2013View full paper

Abstract

While file system metadata is well characterized by a variety of workload studies, scientific metadata is much less well understood. We characterize scientific metadata, in order to better understand the implications for index design. Based on our findings, existing solutions for either file system or scientific search will not suffice for indexing a large scientific file system. We describe the problems with existing solutions, and suggest column stores as an alternative approach.

BibTeX

@inproceedings{parker-wood-systor13,
  author       = {Aleatha Parker-Wood and Brian Madden and Michael McThrow and Darrell D. E. Long and Ian F. Adams and Avani Wildani},
  title        = {Examining Extended and Scientific Metadata for Scalable Index Designs},
  booktitle    = {Proceedings of the Sixth Annual International Systems and Storage Conference (SYSTOR)},
  organization = {ACM},
  address      = {Haifa, Israel},
  month        = jun,
  year         = {2013}
}
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