基于数据特征的系统限流方案  

A Traffic Limitation Solution Based on Data Features

作　　者：刘辉 刘卿然 许宪松 金增 LIU Hui;LIU Qingran;XU Xiansong;JIN Zeng(TravelSky Technology Limited,Beijing 101318,China;Key Laboratory of Intelligent Passenger Service of Civil Aviation,Beijing 101318,China)

机构地区：[1]中国民航信息网络股份有限公司,北京101318 [2]民航旅客服务智能化应用技术重点实验室,北京101318

出　　处：《民航学报》2025年第2期96-100,共5页Journal of Civil Aviation

摘　　要：随着各领域数字化转型的推进,信息系统的应用范围不断扩大,承载业务愈发关键,因此,信息系统的稳定性受到了企业、行业乃至国家的高度重视。针对信息系统的稳定性问题,本文提出了基于数据特征的系统限流方案。首先,采用大数据挖掘技术,学习海量日志数据,识别异常流量数据特征,生成相应的限流规则;然后,当业务系统流量超过阈值时,实时分析交易请求,提取数据特征,匹配限流规则,对异常请求进行限流;最后,提供图形化管理界面,帮助系统管理员灵活地管理限流规则,实时获悉系统异常流量报警信息。实践证明,所提方案极大地提高了系统限流操作的效率和精准性,实现了对业务系统的精细化流量控制,有效提升了业务系统的稳定性。With the advancement of digital transformation in various fields, the application scope of information systems continues to expand, and the business carried by these systems is becoming more and more critical, so the stability of information systems has been highly valued by enterprises, industries and even the country. Targeted at the stability of information system, this paper proposes a traffic limitation solution based on data features. Firstly,the big data mining technology is used to learn massive log data, identify the features of abnormal traffic data, and generate corresponding traffic limitation rules;then, when the business system traffic exceeds the threshold, it analyzes transaction requests in real time, extracts data features, matches the traffic limitation rules, and limits the abnormal requests;finally, it provides a graphical management interface to help system administrators flexibly manage the traffic limitation rules and obtain the system abnormal traffic alarm information in real time. It has been proved in practice that the proposed solution greatly improves the efficiency and accuracy of the traffic limitation operation, realizes refined traffic control of the business system, and effectively improves the stability of the business system.

关 键 词：限流 数据特征 数据挖掘 多维组合 可视化管理 

分 类 号：TP399[自动化与计算机技术—计算机应用技术] F56[自动化与计算机技术—计算机科学与技术]