Methods and devices for predictive diagnosis
A predictive, threading technique for reliability/availability analysis, response to error generation, error detection/correction, etc.
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[0022] overview
[0023] Data can be categorized as fact, information, hypothesis, and directive. The activities of generating certain classes of data based on other classes of data by applying knowledge can be categorized as classification, assessment, resolution, and enactment. These categorization methods can be used to enhance the diagnostic system, such as through history keeping. Such diagnostic systems may include systems that predict computing system failures based on applying knowledge to system vital signs such as thread or stack segment strength and memory heap usage by virtual machines. These vital signs are facts that can be classified as generating information such as memory leaks, stuck threads, deadlocks, congestion, or other problems. Classification can include automatic generation of classes and trending of time series data with sampling intervals of irregular lengths.
[0024] Maintain relationships between data and activities
[0025]According to embodi...
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