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Proceedings Paper

Real-Time Data Management Of Space Information Systems: A Challenge To An Economic Issue
Author(s): Hal Alsberg
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Paper Abstract

Data management may be considered as the activity that organizes and communicates data, with data management systems delivering information and ultimately knowledge as end pro-ducts. For example, NASA/s Earth Resources Program has experimentally demonstrated that remotely sensed data from space can be processed and converted into scientifically useful information and knowledge that may provide solutions to the increasingly critical problems facing mankind. The data systems producing these important results perform complex func-tions sequenced to generate, process, and distribute data virtually on a problem-to-problem basis. It is not surprising that the demonstrated flexibility of data handling and process-ing does not provide the capability to handle the volume of data generated by modern sen-sors. This situation has manifested itself through very high costs of information and the long delays between the time the data are acquired and the time the desired information becomes available. Potential users have recognized the desirability of space-acquired in-formation, but they cannot afford it. This paper identifies the importance of satisfying both functional and economic considerations. It shows that the issue of affordability associated with information systems can be predicted prior to actual system implementation. These requirements have indicated that future information systems must deliver substantially larger volumes of information at significantly reduced costs. Advanced technology-inspired approaches can provide real-time data management systems. This alternative solution has the potential for increasing information availability by a factor of 1000 and reducing the costs proportionally.

Paper Details

Date Published: 8 December 1978
PDF: 6 pages
Proc. SPIE 0154, Real-Time Signal Processing I, (8 December 1978); doi: 10.1117/12.938233
Show Author Affiliations
Hal Alsberg, ARINC Research Corporation (United States)


Published in SPIE Proceedings Vol. 0154:
Real-Time Signal Processing I
T. F. Tao, Editor(s)

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