The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Nov 2020)

PAIRS (RE)LOADED: SYSTEM DESIGN & BENCHMARKING FOR SCALABLE GEOSPATIAL APPLICATIONS

  • C. M. Albrecht,
  • N. Bobroff,
  • B. Elmegreen,
  • M. Freitag,
  • H. F. Hamann,
  • I. Khabibrakhmanov,
  • L. Klein,
  • S. Lu,
  • F. Marianno,
  • J. Schmude,
  • X. Shao,
  • C. Siebenschuh,
  • R. Zhang

DOI
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-255-2020
Journal volume & issue
Vol. XLII-3-W12-2020
pp. 255 – 260

Abstract

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In this paper we benchmark a previously introduced big data platform that enables the analysis of big data from remote sensing and other geospatial-temporal data. The platform, called IBM PAIRS Geoscope, has been developed by leveraging open source big data technologies (Hadoop/HBase) that are in principle scalable in storage and compute to hundreds of PetaBytes. Currently, PAIRS hosts multiple PetaBytes of curated and geospatial-temporally indexed data. It organizes all data with key-value combinations, performing analytics close to the data to minimize data movement.