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Abstract

The realtime event classification technique is described for a data communications network, which enables the categorization of data frames based upon selection significant bit segments in the serial bit stream. A base Event Driven Interface and an extension Event Driven Interface are both coupled to the data communications network, to identify patterns in the serial bit stream. The base Event Driven Interface identifies patterns which correspond to events which are to be counted. The extension Event Driven Interface identifies patterns of bits which are selection significant for the types of categories which are desired to be monitored. A plurality of event vector counters have event inputs coupled to the base Event Driven Interface and have a selection input coupled to the extension Event Driven Interface. A selection signal output from the extension Event Driven Interface enables one of the plurality of the event vector counters to receive the event signals from the base Event Driven Interface. In this manner, a variety of monitoring and analysis operations can be performed on the data communications network.

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First Claim