US Patent Application 18299253. ALERT RULE EVALUATION FOR MONITORING OF LATE ARRIVING DATA simplified abstract
Contents
ALERT RULE EVALUATION FOR MONITORING OF LATE ARRIVING DATA
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Rachel Lemberg of Herzliya (IL)
Anton Vasserman of Herzliya (IL)
Yair Yizhak Ripshtos of Tel Aviv (IL)
Ofri Kleinfeld of Tel Aviv (IL)
Raphael Fettaya of Tel Aviv (IL)
Linoy Liat Barel of Tel Aviv (IL)
ALERT RULE EVALUATION FOR MONITORING OF LATE ARRIVING DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18299253 titled 'ALERT RULE EVALUATION FOR MONITORING OF LATE ARRIVING DATA
Simplified Explanation
The patent application describes a monitoring system that can distinguish between two types of alert rules and apply different evaluation methods to each type.
- The system addresses the issue of latent data ingestion in alert rule evaluation.
- It tailors the evaluation method based on the type of alert rule, optimizing alert latency, accuracy, and cost of goods sold.
- A machine learning model is used to classify a query associated with an alert rule as either increasing or non-increasing.
- Based on the query classification and a condition associated with the alert rule, the system determines if the rule is invariant or variant.
Original Abstract Submitted
A monitoring system is configured to distinguish between two types of alert rules— namely, invariant alert rules and variant alert rules—and to apply a different method of alert rule evaluation to each, wherein each alert rule evaluation method deals with the issue of latent data ingestion in a different way. By tailoring the alert rule evaluation method to the type of alert rule being evaluated, the system can apply an optimized approach for each type of alert rule in terms of achieving a trade-off between alert latency, alert accuracy, and cost of goods sold. In an embodiment, the system utilizes a machine learning model to classify a query associated with an alert rule as either increasing or non-increasing. Then, based on the query classification and a condition associated with the alert rule, the system determines if the alert rule is invariant or variant.
