Abstract—The Internet of Things (IoT in short) have been experienced tremendously fast development in the past decade whither in theory or practice. But one of the side effects of the IoT is that it can create an unprecedented amount of data. As the typical technology, the CEP (Complex Event Processing CEP in short) has plays an important role in the processing of dealing with IoT event flow. However, how to control the huge amount of data injected into the network and how to fast transform them to end user has met the challenge. In this paper, an CEP model is proposed for facilitating algorithm analysis and formal expression. Based on the CEP model a few algorithm for dealing with big data problem are discussed formally, including fast classification of event flow and the fast pushing of data report service. Two case studies of EPC IoT are practiced, and the experiment results show the feasibility of proposed algorithm which is based on CEP model.
Index Terms—Internet of things, complex event processing, Algebra model, EPC network.
Jing Sun and Huiqun Zhao are with Computer School, North China University of Technology, Beijing 100144 China (e-mail: firstname.lastname@example.org, email@example.com).
Cite: Jing Sun and Huiqun Zhao, "A Novel CEP Model and Its Applications in Internet of Things Big Data Processing," International Journal of Machine Learning and Computing vol. 9, no. 6, pp. 721-733, 2019.Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).