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In order to improve the efficiency of service discovery and release the load of service registry, this paper proposes a service registry model named as SRMC (Service Registry with Multilevel Caches) which clusters the service consumers into groups according to their searching similarity and sets up a multilevel cache for all groups to improve the performance of service discovery. The multilevel caches of SRMC are refreshed by a hybrid mechanism which includes event-based refreshing and periodical refreshing. The basis of refreshing and clustering is the history records of service discovery requests issued by service consumers. The running results of an instance of SRMC deployed in an experimental environment have shown that SRMC is effective to reduce the times of accessing global storage and the amount of data searched in service discovery.