Research On Network Running Situation Awareness Based On Fuzzy Association Analysis

With the development of modern society,the network plays a more and more important role in people's life and work.If the running situation of the network worsens,it will bring great inconvenience or loss to people's daily work and life.By analyzing the interrelation of the network running state and evaluating the mutual influence of the network,the running situation of the network can be perceived reasonably.Because of the link and communication of network nodes,the state of any device in the network will affect the state of the associated equipment.When the state of node deterioration is monitored,the running state of the directly adjacent equipment is also monitored,resulting in a lot of information deteriorating state of the equipment.The network running situation awareness system needs to collect and analyze the factors that can cause the change of the network running state.Administrators can regulate the network according to the results of the analysis.Otherwise,the network administrator will have difficulty in understanding the huge raw data,so as to reduce the maintenance ability of the network.The effective way to merge and compress data is association rule mining,which is based on the implicit association between deteriorating running situational factors and other situational factors.Under the background of multi domain distributed network,this paper combines fuzzy theory with association rule mining for network running situation awareness.A fuzzy association rule mining algorithm with better time efficiency is proposed,which is a parallel fuzzy association rule mining algorithm with linked list and interestingness.Simulation experiments verify the superiority of the algorithm.The research content and innovation of this paper are as follows:1.In this paper,a network running situational awareness model is established and network running situational awareness is carried out in two ways.The overall running situation of the network is evaluated by fuzzy correlation analysis,and the association exists in the network running situation by fuzzy association rule mining,so as to evaluate the mutual influence of the deterioration of the running situation,and locate the root node of the running situation deterioration.2.The evaluation index system of network running situational awareness is set up.The status factor transaction database is established through the mechanism of sliding window,and the data of transaction database is fuzzed based on attribute classification and membership function,and fuzzy running situation awareness transaction library is established.The network running situation assessment is carried out by the combination of node weight,Delphy analytic hierarchy process and grey relational analysis.3.This paper proposes a fuzzy association rule mining algorithm,which enables global and local management sites to synchronize fuzzy association rules mining.Simulation results show that the algorithm proposed in this paper has good time efficiency and can filter some boring rules,and achieve the correlation analysis and location problem of network running situation awareness system.