The past decade has experienced a phenomenal growth in the amount of data and resultant information generated by NASA's operations and research projects. A key application is the reprocessing problem which has been identified to require data management capabilities beyond those available today (PRAT93). The Intelligent Information Fusion (IIF) system (ROEL91) is an ongoing NASA project which has similar requirements. Deriving our understanding of NASA's future data management needs based on the above, this paper describes an approach to using parallel computer systems (processor and I/O architectures) to develop an efficient parallel database management system to address the needs. Specifically, we propose to investigate issues in low-level record organizations and management, complex query processing, and query compilation and scheduling.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    A parallel data management system for large-scale NASA datasets


    Contributors:


    Publication date :

    1993-04-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English