Multiple Query Processing with Group Filters on Data Streams



Data Stream, Group Filters, Multiple Queries


In the environment of stream data, real-time data is continuously and continuously generated, but a plurality of continuous queries are statically registered and performed on real-time data. Therefore, it is important to find only the queries that can be processed on the arrived data, and to quickly execute only the queries to reduce the burden of query execution on the system. In order to solve the problems of the existing multi-query processing method, in this study, the order of attributes is determined according to the selection rate of attribute conditions. Real-time performance can be optimized by finding the optimal attribute order in the group query. Through experiments, it has been demonstrated that excellent performance is shown even when the number of properties is large.


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Performance Comparisons by Data Sets




How to Cite

N. H. . Park and K. H. . Joo, “Multiple Query Processing with Group Filters on Data Streams”, Int J Intell Syst Appl Eng, vol. 10, no. 1s, pp. 187 –, Oct. 2022.