DocumentCode
2110521
Title
Implementing a high-rate, low-cost data processing system
Author
Butulis, Garrett T. ; Tilmes, Curt A. ; Hord, John K. ; Bur, Michael J C ; Fleig, Albert J.
Author_Institution
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Volume
3
fYear
2001
fDate
2001
Firstpage
1468
Abstract
Large-scale processing systems for producing information from high data rate instruments have traditionally been built using large, expensive multi-processor computer systems. In the last few years, improvements in commodity computing systems and storage devices have brought them to the performance territory once held exclusively by the likes of DEC, SGI, Sun, and IBM. We are now building a data processing system using PC-class machines for the Ozone Monitoring Instrument (OMI) that will be launched in 2003. OMI has a 1Mbit/second data rate and will run continuously for five years. The OMI production system, which is based on the 3rd generation Moderate Resolution Imaging Spectroradiometer (MODIS) data processing system, will use a heterogeneous set of low-cost processors, high-volume disks, and fast networks to provide impressive throughput for an exceptionally low cost. This approach provides an attractive alternative to the high initial outlay and continuing support costs of the traditional "heavy iron" systems
Keywords
distributed processing; geophysical signal processing; remote sensing; MODIS data processing system; Moderate Resolution Imaging Spectroradiometer data processing system; OMI; Ozone Monitoring Instrument; commodity computing systems; high data rate instruments; high-rate low-cost data processing system; storage devices; Computerized monitoring; Condition monitoring; Costs; Data processing; Instruments; Large-scale systems; MODIS; Production systems; Sun; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.976880
Filename
976880
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