Using ATM networks for processing global earth data

Barbara L. Kess, Phillip R. Romig, Stephen E. Reichenbach, Ashok Samal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Current workstation technology provides an unprecedented amount of computational power to researchers at an affordable cost, making it feasible to use workstations rather than expensive supercomputers to perform scientific analysis of large data sets, such as the Global Land 1-Km AVHRR data. In addition to this, inexpensive high speed ATM networks have the potential to improve the overall computational efficiency of workstations by using several workstations in a distributed environment. This research studies the practicality of using distributed workstations interconnected with a 155 Mb ATM network for analysis and compression of the Global Land 1-Km AVHRR data versus sequential computing on one of the workstations. Performance comparisons are given for three algorithms associated with the compression of these data. Based on the test results, a discussion is given regarding the practicality of using a distributed system to enhance performance when processing global earth data.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1048-1050
Number of pages3
Volume2
StatePublished - 1996
EventProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA
Duration: May 28 1996May 31 1996

Other

OtherProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)
CityLincoln, NE, USA
Period5/28/965/31/96

ASJC Scopus subject areas

  • Software
  • Geology

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    Kess, B. L., Romig, P. R., Reichenbach, S. E., & Samal, A. (1996). Using ATM networks for processing global earth data. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 2, pp. 1048-1050). IEEE.