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分析了目前运营商IP城域网络告警处理分析工作所面对的挑战,比较目前可用的大数据分析技术特征,选择其中较为合适的分布式搜索引擎分析技术,构建城域网海量告警处理平台,通过清洗、检索、关联、知识积累和统计分析等功能,从各类设备上报运行日志的海量告警中抽取有效信息,支撑运营商IP城域网维护工作。
This paper analyzes the challenges faced by operators in IP Metropolitan Area Network (IP MAN) alarm processing and analysis. By comparing the available features of big data analysis technology, choosing the more appropriate distributed search engine analysis technology and building MAN mass alarm processing platform, Through the functions of cleaning, searching, correlation, knowledge accumulation and statistical analysis, effective information is extracted from the massive alarms reported by various equipment in the operation log to support the maintenance of the operator IP MAN.