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Nam, Beomseok
Data Intensive Computing Lab
Research Interests
  • Distributed and parallel computing, high performance computing, database systems, OS and storage systems

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Analyzing design choices for distributed multidimensional indexing

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Title
Analyzing design choices for distributed multidimensional indexing
Author
Nam, BeomseokSussman, Alan
Keywords
Data intensive computing; Decentralized indexing; Distributed indexing; Multidimensional indexing
Issue Date
201203
Publisher
SPRINGER
Citation
JOURNAL OF SUPERCOMPUTING, v.59, no.3, pp.1552 - 1576
Abstract
Scientific datasets are often stored on distributed archival storage systems, because geographically distributed sensor devices store the datasets in their local machines and also because the size of scientific datasets demands large amount of disk space. Multidimensional indexing techniques have been shown to greatly improve range query performance into large scientific datasets. In this paper, we discuss several ways of distributing a multidimensional index in order to speed up access to large distributed scientific datasets. This paper compares the designs, challenges, and problems for distributed multidimensional indexing schemes, and provides a comprehensive performance study of distributed indexing to provide guidelines to choose a distributed multidimensional index for a specific data analysis application.
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DOI
http://dx.doi.org/10.1007/s11227-011-0567-7
ISSN
0920-8542
Appears in Collections:
ECE_Journal Papers

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