基于动态匹配策略的复杂事件处理方法

Efficient complex event processing based on dynamic matching strategy

复杂事件处理技术是在事件流中检测特定事件模型的分析技术。当前主流的复杂事件匹配方法在查询模式中按照事件连续性严格程度设置了匹配策略约束,这些特定的匹配策略由于设置粒度粗,所以难以根据需求精细调节匹配结果,造成匹配结果的冗余和匹配效率的不足。针对当前主要匹配策略存在的冗余问题,提出基于动态匹配策略的复杂事件处理方法,设计支持动态匹配策略的查询模式及基于查询模式的匹配方法。通过动态调节复杂事件实例的派生约束,实现匹配结果可调节的同时提升匹配性能。在模拟数据集上对方法进行对比实验。实验结果表明,提出方法可以有效调节匹配结果,并提高整体匹配性能。

Complex event processing technique is an analytical technique that detect specific event patterns in event streams.Current mainstream complex event matching methods set a specific number of matching strategy constraints in the query pattern according to the strictness of event continuity.Due to the coarse setting granularity of these specific matching strategies,it is difficult to fine-tune the matching results according to the requirements,resulting in redundant matching results and inefficient matching.Aiming at the matching redundancy problem caused by the matching strategies,this paper proposed a complex event processing method supporting dynamic matching strategy,and designed a query pattern that supported dynamic matching stra-tegy and a matching method based on this query pattern.By dynamically adjusting the derived constraints of complex event instances,the matching results could be adjusted and the matching performance could be improved.It conducted method comparison experiments on simulated data set.The result of the experiment shows that the proposed method can effectively regulate the matching results and improve the overall matching performance.