A Data Generation Algorithm for Internet of Things Based on Complex Event Processing

With the rapid development of the Internet of things(IOT), the applications are more and more extensive in smart grid, intelligent transportation, intelligent logistics, intelligent medical, smart home and so on. In this case, more and more big data analysis and processing engines are emerging. Because real data is difficult to obtain, how to provide fast test data with enough variety, large scale, and high complexity for these wide types of big data processing engines become a thorny issue. In order to meet the demand, this paper designs and implements a Data Generation Algorithm based on Complex event processing (CEP). The definition of selective event flow, sequential event flow, and causal event flow are proposed. The experimental results show that, the method is effective.