Method to efficiently evaluate a log pattern
A log and pattern technology, applied in the direction of detecting faulty computer hardware, responding to error generation, fault handling not based on redundancy, etc., can solve problems such as limited diagnostic value of log pattern and adverse effects of effectiveness
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[0030] Evaluating the performance of log mode using historical data requires applying log mode to log event data generated by many previous calls. For example, consider the pedestal that houses thousands of medical imaging systems that experience a total of 10,000 service calls per year. Let's say the log pattern hits 100 service calls per year, or 1% of all service calls. Evaluating the performance of log mode requires analyzing a large number of service calls. Even analyzing log events for 1,000 random service calls (10% of all service calls) would on average only yield 10 service calls that the log pattern would hit. This is generally insufficient for proper statistical analysis, making this approach difficult or even infeasible in practice. On the other hand, processing all log events for all 10,000 service calls would result in 100 service calls that the log pattern would hit. This may be sufficient for statistical analysis, however, the computational resources require...
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