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Systems and methods for measuring effective customer impact of network problems in real-time using streaming analytics
Systems and methods for measuring effective customer impact of network problems in real-time using streaming analytics
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机译:使用流分析实时测量网络问题对客户的有效影响的系统和方法
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摘要
A system used for identifying issues within a telecom network. Data is obtained from sources including probes and network elements. KPIs are identified for real-time streaming aggregation. Streaming data related to the KPIs is aggregated and an approximation of count-distinct subscribers and volume count is calculated, as well as count-distinct subscribers aggregating by each identified KPI. Drill objects found in the aggregated data are identified based on the calculations and real-time trending records are generated and stored for each drill object using an exponential moving average. Baseline averages are generated based on the real-time trending records. An increase in errors can then be detected based on the baseline averages and additionally aggregated real-time streaming data. Deviations in each drill object contributing to the detected increase in errors are then analyzed and a full case report is generated based on details of the deviations.
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