Title :
A Hybrid Complex Event Service Based on IoT Resource Models
Author :
Yang Zhang ; Jun-Liang Chen
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Traditional Complex Event systems (CEP) did not consider the computation requirements of continuous dynamic behavior such as differential equations. In addition, the event composition rules were predefined before the CEP engine began working. The rule defining task is error-prone and cumbersome. In this paper, therefore, a hybrid complex event service is proposed, which deals with not only discrete events but also continuous behavior computation based on IoT (Internet of Things) resource models. In order to satisfy the real-time constraints of processing IoT events, a divide-and-conquer principle is adopted, where we give a combination theorem such that different events can be processed on different IoT resources and then these processed results can be combined to derive complex events. Based on the formal IoT resources and event knowledge, we define interest goals to direct event composition without enumerating event relation to define event composition rules. We finally present event composition algorithms and evaluation to show our idea.
Keywords :
Internet of Things; Web services; computability; divide and conquer methods; CEP; Internet of Things resource models; IoT events processing; IoT resource models; complex event systems; continuous behavior computation; discrete events; divide-and-conquer principle; event composition algorithms; event composition rules; event knowledge; event relation; hybrid complex event service; real-time constraints; satisfiability modulo theories; Computational modeling; Fuel processing industries; Mathematical model; Monitoring; Safety; Ventilation; Wind speed; CEP; IoT Resource; Publish/Subscribe; Satisfiability Modulo Theories;
Conference_Titel :
Web Services (ICWS), 2015 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7271-8
DOI :
10.1109/ICWS.2015.88