Global and Application Level Exception Detection System, Based on MASF Technique
نویسنده
چکیده
The paper describes one site's experience of using Multivariate Adaptive Statistical Filtering (MASF) to produce web-based exception reports against SAS/ITSV performance databases for a large, multi-platform environment. In addition to global exceptions, the system can capture application level exceptions by using standard workload characterization. The history of exceptions, kept in a separate database, is used to analyze seasonal stresses, considering it as a natural test to discover the weakest subsystem.
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تاریخ انتشار 2002