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Proceedings Paper

Economic analysis of open space box model utilization in spacecraft
Author(s): Atif Farid Mohammad; Jeremy Straub
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Paper Abstract

It is a known fact that the amount of data about space that is stored is getting larger on an everyday basis. However, the utilization of Big Data and related tools to perform ETL (Extract, Transform and Load) applications will soon be pervasive in the space sciences. We have entered in a crucial time where using Big Data can be the difference (for terrestrial applications) between organizations underperforming and outperforming their peers. The same is true for NASA and other space agencies, as well as for individual missions and the highly-competitive process of mission data analysis and publication. In most industries, conventional opponents and new candidates alike will influence data-driven approaches to revolutionize and capture the value of Big Data archives. The Open Space Box Model is poised to take the proverbial “giant leap”, as it provides autonomic data processing and communications for spacecraft. We can find economic value generated from such use of data processing in our earthly organizations in every sector, such as healthcare, retail. We also can easily find retailers, performing research on Big Data, by utilizing sensors driven embedded data in products within their stores and warehouses to determine how these products are actually used in the real world.

Paper Details

Date Published: 22 May 2015
PDF: 6 pages
Proc. SPIE 9469, Sensors and Systems for Space Applications VIII, 94690P (22 May 2015); doi: 10.1117/12.2176724
Show Author Affiliations
Atif Farid Mohammad, Univ. of North Dakota (United States)
Jeremy Straub, Univ. of North Dakota (United States)


Published in SPIE Proceedings Vol. 9469:
Sensors and Systems for Space Applications VIII
Khanh D. Pham; Genshe Chen, Editor(s)

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