Research Of Campus Network Behavior Analysis

With campus networks increasing in size and complexity, the management of these networks is becoming more and more difficult. The current management measure is achieved mainly by studying the network behavior from the area of network traffic, without the decision support data being available to the network managers on a macro scale.The thesis begins with statistical research on the network behavior, giving the network manager a good insight into how the network actually behaves over a period of time. This allows the manager to determine and establish an effective measure of how the campus network operates during that period, allowing the system to be optimized or upgraded where appropriate.The thesis mainly works by taking "on-line analytical processing" warehouse data mining to analysis and handle the campus network system log, making use of the inherent relationship of the three core technology to realize a new decision support system framework of the campus network behavior. This would be achieved by extracting and analyzing day-to-day generated network information to gather regular and valuable system knowledge, in addition to looking at rules for campus network behavior to establish a structured management framework module system. We could carry out further data mining analysis and realize the set-up of a partially predictable analysis module as well as establish corresponding evaluation mechanism by the means of proper data mining calculations and analysis methodology.