Abstract
This thesis studies on the query mechanism of network security monitoring datastreams, and researchs storage flow data in memory adopting a method of using flow data as materialized sharing intermediate results of compression. Through the experiments of two kinds of flow data storage structure of StreamQCTree-D and QC-Tree, confirmed the dynamic scheme of StreamQCTree relative to QC-Tree in the lower part of the query performance to get higher data compression rate, further validation of the data compression of multiple query optimization is effective
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