Microsoft Technology Licensing, LLC

Maya Maimon

Moshe Israel

Dotan Patrich

Tomer Teller

Oran Brill

Vlad Korsunsky

Methods are provided for building and tuning a correlation data structure. The correlation data structure includes relationship correlations with relationship scores that reflect the level of correlation between alert conditions and feature set events that occurred in a machine. Each relationship correlation further includes a time of influence associated with the times of occurrence for each alert condition and corresponding feature set event. The correlation data structure is built and tuned using sourcing to leverage the alert conditions and feature set events on each machine for all machines in the network. Methods are also provided to use the correlation data structure to monitor the machines in a network, detect feature set events, and detect if alert conditions correlated with those feature set events are likely to occur. The methods further provide for mitigating those alert conditions.

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Giv′at-Shmuel, Israel

Maya Maimon