A complex event processing engine with sharing calculation of conditions among queries

In recent years, with the popularity of the Internet and the high-speed flow of various information, dealing with this kind of streaming data has become a meaningful topic. Besides, this kind of research on complex event processing (CEP) can be applied to many fields, such as finance, cloud computing, and education. We designed a system that can be used to analyze streaming data from the stock market. This paper presents the design of a query language and describes some useful methods for optimization, including “logic optimization”, “likelihood optimization”, “pace optimization”, “window optimization”, “share nodes optimization”, and “contain conditions optimization”. Finally, by using these methods, the operating speed of the system has been dramatically improved