Query Optimum Scheduling Strategy on Network Security Monitoring Data Streams

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