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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bell, Scott Zaientz, Jack Kortenkamp, David |
| Abstract | Modern space systems such as satellites, human spacecraft, planetary probes and space robots are highly sensored and generate large amounts of data. For this data to be useful to humans monitoring these systems and to automated algorithms controlling these systems, it will need to be converted into more abstract data [1] [2] [3]. NASA has created software processes called comps (short for "computations") to manage these data abstractions. Comps are used in a variety of applications at NASA, from the execution of procedures to monitoring. Currently the comp creation process is manual, ad hoc, and intermingled with data displays. It is manual in the sense that comps are hand-coded computer programs for each data item. It is ad hoc in the sense that each comp is developed on its own with no representation of how it relates to the tasks being performed or to other comps. It is intermingled with the data displays in that comps are irreducible, difficult for other programs, like controllers, to access or understand, and often compiled into the data display. In this paper we present an architecture that allows engineers to design comps in an efficient, flexible, and canonical manner. |
| Starting Page | 1 |
| Ending Page | 2 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781605586656 |
| DOI | 10.1145/1619258.1619310 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-07-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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