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When the performance of the AI model gets worse, it may cause a serious decline in quality of service.
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If a model predicts something, we can calculate the accuracy of the inference with real data after targeting time that model predicted.
If a model decide values or action of other functions, we can measure the credibility of the models' decision by tracking KPIs collected from the environment.
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<proposed monitoring system and scenario>
(#image1)
Monitoring system consists of a monitoring server deployed in the central cluster, monitoring agents distributed in the RICs, pluggable performance analysis modules and additional functions in the dashboard.
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If all raw data is not necessary to be transferred, basically statistical values such as mean,std,min,max and skew are calculated and sent every 5ms. ( time interval and format is flexible )(#image2,3)
Since InfluxDB is default time-series DB in RIC,
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