Translated Title
Research on Query Plan Generation and Optimization in Multi-Source Complex Event Detection
Translated Abstract
Complex event processing technology is a common method of streaming data query. With the development of data diversification, the complexity of query increases dramatically, and its processing performance is greatly challenged. In order to improve the processing efficiency of multi-source complex event query, this paper proposes a new query decomposition scheme to improve the utilization rate of cluster resources. For the matching of event sources, we combine the filtering in query with the filtering in event source matching to design a special optimization program. Experimental results show that the above method can effectively improve the efficiency of complex event query.
Access Number
WF:perioarticalHANS201805220751
Corresponding authors email