基于优先级的哈希结构复杂事件检测方法

针对多源动态海量数据复杂事件检测中，存在复杂事件不能及时检测以及过多占用内存的问题，提出了一种基于优先级的哈希结构复杂事件检测方法，该方法通过定义各个原子事件的优先级，采用事件优先级调度策略，使得事件模式匹配及检测能得到及时执行。同时减少了内存消耗，提高了事件检测的吞吐量。仿真实验证明了该方法的可行性和高效性。

Complex Event Detection Method Based on Priority Hash

This paper introduces the problems that complex event can not be dectected timely and take up too much memory in multi-source dynamic mass data complex event detection, and a method of complex event detection of hash structure based on priority has been proposed. By defining the priority of each atomic events and using priority scheduling policy, the method makes event pattern matching and detection to be executed timely, while reducing memory consumption and improving event detection throughtput. Simulation experiment results have checked the feasibility and high efficiency of this method.