Research On Context-based Complex Event Processing

The complex event processing,which is a widely used information processing technology,can extract specific information from real-time data information with realtime and accuracy.The use of event trees to represent complex events has obvious advantages in dealing with complex event processing under different application environments.However,existing related technologies have not strong enough expressive ability.Based on the research of Chakravarthy et al,this paper extends the technology of complex event processing in different application environments and extends the event nodes from binary to multivariate.And this paper also adds new operations including AVG,SUM,MIN,MAX,DEC and INC to enhance the expressive ability of event tree in complex event processing.Secondly,the event-sharing algorithm is designed to deal with the problem of processing the same event nodes.Thirdly,according to the extended algorithm and added operations algorithm,a complex event processing system is designed and implemented.The system supports extended operations and new operations.Finally,the performance of the system is tested.The test results show that the system can detect the complex events quickly and accurately.When the complex events defined in the system have a large number of same nodes,the event sharing technology can significantly improve the speed of complex event processing.