Research And Applicate Of Network Content Detective System Of Performance Optimization Technology

With the rapid development of Internet technology in recent years,the amount of data transferred in the network is bigger,and the requirements of performance of network content testing equipment are higher and higher.The traditional network management strategy has been unable to adapt to large flow,high performance and high complexity of the network environment,in order to respond the demand of high bandwidth of complex network management,this paper foucs on network content detective system based on MIPS architecture,puts forward the network content detective system performance optimization scheme.This paper firstly introduced network content detective system's core technology-deep packet inspection technology,and describes the network content detective system with OCTEON multi-core network processor and its special hardware acceleration coprocessor.On the basis of a preliminary study of network content detective system two kinds of optimization strategy is proposed.First analyze the problem of the space is big in the feature matching process,using a simple regular expression complexity strategy to reduce the storage space needed for the DFA;Next research of hash table application in the network content detective system,for the problems existing in the linear hash table,use the CRC16 algorithm of hash table to implemented the network content detective system performance optimization.On the basis of the above optimization strategy,this paper analyze the characteristics of business of a single complex regular expression to simplify,and applies the weighted detection way to break up the regular expression simplification;For hash table optimization strategy,a hash table is given in the practical application of optimization in network content detective system,implemented the network content detective system performance optimization.Finally,in this paper,network content detective system have been tested.the optimization of before and after has carried on the system test,and the more groups of comparing test results and the experimental results proved that the optimized network content detective system works well and the performance is superior to the network content detective system after optimization,it can meet the demand of high speed and large flow of the actual network.