摘要
阐述为克服现有复杂事件处理在数据分类及分析过程中过于集中的管理模式,提出一种复杂事件处理规则的分配方法,即在物联网环境中分配复杂事件的处理规则,以减少服务器的负载。同时,构建高性能消息处理框架,确保大量数据的高效分类。为了验证算法性能,搭建基于Apache Kafka的高性能消息处理框架,并验证所提出的算法在减轻负载和数据处理性能方面的作用。
This paper expounds that it is necessary to overcome the over-concentrated processing management mode of the existing complex event processing in the data classification and analysis process.It proposes a method for distributing complex event processing rules.Distribute complex event processing rules in an IoT environment to reduce server load,and at the same time,build a high-performance message processing framework to ensure efficient classification of large amounts of data.In order to verify the performance of the algorithm,a high-performance message processing framework is created based on Apache Kafka,and the role of the proposed algorithm in reducing the load and data processing performance is verified.
作者
唐凯
TANG Kai(Shanghai Shenteng Information Technology Co.,Ltd.,Shanghai 200040,China)
出处
《集成电路应用》
2024年第7期394-397,共4页
Application of IC
基金
上海市科学技术委员会社会发展科技攻关项目(20dz1201303)。
