Nebulae: A Proposed Concept of Operation for Deep Space Computing Clouds
Abstract
In this paper, we describe an ongoing multi-institution study in using emplaced computational resources such as high-volume storage and fast processing to enable instruments to gather and store much more data than would normally be possible, even if it cannot be downlinked to Earth in any reasonable time. The primary focus of the study is designing science pipelines for on-site summarization, archival for future downlink, and multisensor fusion. A secondary focus is on providing support for increasingly autonomous systems, including mapping, planning, and multi-platform collaboration. Key to both of these concepts is treating the spacecraft not as an autonomous agent but as an interactive batch processor, which allows us to avoid "quantum leaps" in machine intelligence required to realize the concepts. Our goal is to discuss preliminary results and technical directions for the community, and identify promising new opportunities for multi-sensor fusion with the help of planetary researchers.
Additional Information
© 2020 IEEE. Government Sponsorship Acknowledged. The research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The authors would like to thank the participants of the workshop who contributed ideas and discussions to this paper: Leon Alkalai (JPL), Morgan Cable (JPL), Les Deutsch (JPL), James Dickson (Caltech), Andrew Dittrich (USAF), David English (Lockheed Martin Space), Eric Frew (University of Colorado), Joseph Goldfrank (Stanford University), Shayn Hawthorne (Amazon Web Service), Jason Hofgartner (JPL), Robert Hood (ASRC Federal/NASA Ames), Ashish Mahabal (Caltech), Lukas Mandrake (JPL), Sreeja Nag (NASA Ames / BAERI), Mario Parente (University of Massachusetts), Raphael Some (JPL), David R Thompson (JPL), Jason Tichy (NVIDIA).Attached Files
Published - 09172264.pdf
Accepted Version - aero2020nebulae.pdf
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Additional details
- Eprint ID
- 105269
- Resolver ID
- CaltechAUTHORS:20200908-130820600
- NASA/JPL/Caltech
- Created
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2020-09-08Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Keck Institute for Space Studies