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Pre-Grant Publication Number: 20070266142

Cross-cutting detection of event patterns

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Discussion (3)

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Jeff Morrill (9 months ago)

The application describes a technique known to me as "temporal reasoning". A search with this term plus "network monitoring" immediately turned up prior art. Although the prior art differs from the application in the use of fuzzy logic, it is in every other detail the same. The application uses frequency instead of fuzzy logic, however frequency is a very similar concept to the fuzzy "degree of truth." A more thorough search than mine might be able to turn up a frequency-based approach, it is a much more obvious approach than fuzzy logic.

Karen Hofmann (9 months ago)

Utility Comment: Rolling time window report will report on causal relationships between reporting, self-identifying nodes, but will not be able to report on the causal relationship of a non-reporting failed node, where visualization graphs could show this correlation.

For example, nodes in a particular proximity all report events and there is one silent node within proximity with an unidentified dependency. In this scenario, the non-reporting node would actually be the root cause, but would not actually show in the time-based report.

Tim Davies (11 months ago)

In short this work would seem to be trying to get basic nural net and ai techneques patented for use on clusters and other distributed compute systems. I fail to se how giving a problem the title of atribute and linking atributes to a failure is novel. That is unless it is predictive in the absense of a signal.

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