The proposed Europa Mission concept contains many engineering and scientific instruments that consume varying amounts of power and produce varying amounts of data throughout the mission. System-level power and data usage must be well understood and analyzed to verify design requirements. Numerous cross-disciplinary tools and analysis models are used to simulate the system-level spacecraft power and data behavior. This paper addresses the problem of orchestrating a consistent set of models, tools, and data in a unified analysis toolchain when ownership is distributed among numerous domain experts. An analysis and simulation environment was developed as a way to manage the complexity of the power and data analysis toolchain and to reduce the simulation turnaround time. A system model data repository is used as the trusted store of high-level inputs and results while other remote servers are used for archival of larger data sets and for analysis tool execution. Simulation data passes through numerous domain-specific analysis tools and end-to-end simulation execution is enabled through a web-based tool. The use of a cloud-based service facilitates coordination among distributed developers and enables scalable computation and storage needs, and ensures a consistent execution environment. Configuration management is emphasized to maintain traceability between current and historical simulation runs and their corresponding versions of models, tools and data.


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    Title :

    Cloud-based orchestration of a model-based power and data analysis toolchain


    Contributors:
    Post, Ethan (author) / Dinkel, Kevin (author) / Lee, Erich (author) / Cole, Bjorn (author) / Kim, Hongman (author) / Nairouz, Bassem (author)


    Publication date :

    2016-03-01


    Size :

    1752833 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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