分布式上下文敏感复杂事件处理方法

针对物联网事件云的复杂事件处理面临的海量事件规模、分布式数据处理、上下文相关等挑战,提出一种分布式的上下文敏感复杂事件处理方法。该方法基于模糊本体进行事件上下文的表示和推理,通过查询重写支持事件上下文处理,并基于查询规划和数据划分进行分布式处理与启发式优化。实验结果表明,该方法能够处理模糊事件上下文,对于大规模物联网事件云上下文敏感复杂事件的处理具有比一般方法更好的性能和可伸缩性。

Distributed context-aware complex event processing method

There were some challenges in complex event processing for event cloud in Internet of things, such as massive data, distributed data processing and context-aware processing. In order to resolve the challenges, this paper proposed a distributed context-aware complex event processing method. It used fuzzy ontology for context representation and reasoning. It supported event context through query rewriting. Distributed processing and heuristic optimization was supported based on query plan and data partition. The experimental result shows that this method can process fuzzy context and the performance and scalability of this approach are better than normal methods when processing large-scale event cloud in Internet of things.