Current typical content-based publish/subscribe systems are not efficient in subscription processing or event matching.This paper presents hybrid event matching algorithm(HEMA)

a novel publish/subscribe systems which joins predicate indexing and testing network approaches.We put partially ordered subscription with same predicates

which are separated from testing network structures

into predicate indexing mechanism to sustain efficient matching

whilst changing large number of subscriptions.Finally

experiments and performance analysis show that HEMA significantly improve throughput of event propagation and reduce response time to subscription updates meanwhile.