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作 者:Chunjie ZHOU Xiaoling WANG Zhiwang ZHANG Zhenxing ZHANG Haiping QU
机构地区:[1]Department of Information and Electrical Engineering, Ludong University, Shandong 264025, China [2]Department of Software, East China Normal University, Shanghai 200062, China
出 处:《Frontiers of Computer Science》2019年第3期471-488,共18页中国计算机科学前沿(英文版)
基 金:the Project of Shandong Province Higher Educational Science and Technology Program (J12LN05);the National Natural Science Foundation of China (Grant Nos. 61202111,61472141, 61273152,61303017);the Project Development Plan of Science and Technology of Yantai City (2013ZH092);the Doctoral Foundation of Ludong University (LY2012023);the Natural Science Foundation of Shandong (ZR2016FM15).
摘 要:The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experi? mental studies demonstrate the efficiency of our approach.
关 键 词:TIME model EVENT processing internet of THINGS TIME INTERVAL TIME DISORDER
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