Delivering Images for Mars Rover Science Planning

Powell, Mark W.; Crockett, Thomas M.; Fox, Jason M.; Joswig, Joseph C.; Norris, Jeffrey S.; Shams, Khawaja; Torres, Ricardo

doi:10.1109/aero.2008.4526581

Cited by 6 publications

(2 citation statements)

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“…The most efficient way to deliver these images to the operators requires on-demand delivery based on the resolution and the area of an image that the client is viewing. This tile-based delivery, described in [2] requires a significant amount of processing before data can be delivered. Orchestrator creates the tiles and also generates panoramas of images acquired at the same location.…”

Section: Exploiting Elasticity For Data Processingmentioning

confidence: 99%

“…MSL's downlink pipeline for the APSS, Orchestrator [2], will heavily rely on the elasticity offered by AWS' EC2 (Elastic Compute Cloud) to make the processing of image data more efficient. As each image is processed by MIPL (Multi-Mission Image Processing Lab) as part of the OPGS (Operations Product Generation Subsystem) subsystem in the GDS, Orchestrator performs subsequent processing to make the data available for tactical operations.…”

Section: Exploiting Elasticity For Data Processingmentioning

confidence: 99%

See 1 more Smart Citation

Cloud Sourcing Cycles: How Cloud Computing is Revolutionizing NASA Mission Operations

Shams

Powell

Norris

et al. 2010

SpaceOps 2010 Conference

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Developers across the Jet Propulsion Laboratory are leveraging cloud computing on a variety of problems on multiple missions. In this paper, we explore cloud computing and its potential to revolutionize spacecraft operations. We describe concrete applications that have been developed and integrated with ground data systems. We will evaluate the role cloud computing is playing in the development of MSLICE (Mars Science Laboratory Interface), the primary software tool to control the (MSL) Mars Science Laboratory Rover.

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Section: Exploiting Elasticity For Data Processingmentioning

confidence: 99%

Section: Exploiting Elasticity For Data Processingmentioning

confidence: 99%