Very Large Parallel Data Flow
Final rept. Dec 1985-Dec 1987
HONEYWELL INC GOLDEN VALLEY MN CORPORATE SYSTEMS DEVELOPMENT DIV
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This report describes a three-phase effort to investigate the use of parallel processing in very large dataknowledge database management systems D KBMS as a means of attaining required performance levels. Phase one involved investigation of parallel processing techniques for inference processing, parallel processing techniques for very large database management and fault tolerant techniques for very large databases. During phase two, the results of ix investigation studies were combined to develop a methodology for specifying high performance, highly available DKBMS computer architecture architectures for very large dataknowledge base DKB environments. During phase three, a dataknowledge base management testbed was designed and implemented to serve both as a demonstration and performance measurement and evaluation platform. The testbed was used to perform several experiments designed to quantitatively measure DKBMS performance and understand DKBMS performance sensitivity and behavior with respect to various system paramounts. Several key results and conclusions have been identified from this work and directions for future work have been identified.
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