Cisco Technology, Inc.

Shamya Karumbaiah

Antonio Nucci

Sujit Biswas

Gyana Ranjan Dash

Manjula Shivanna

Saurabh Verma

Arvind Narayanan

Sequences of computer network log entries indicative of a cause of an event described in a first type of entry are identified by training a long short-term memory (LSTM) neural network to detect computer network log entries of a first type. The network is characterized by a plurality of ordered cells F=(x, c, h) and a final sigmoid layer characterized by a weight vector w. A sequence of log entries xis received. An hfor each entry is determined using the trained F. A value of gating function G(h, h)=II (w(h&#x2212;h)+b) is determined for each entry. II is an indicator function, b is a bias parameter. A sub-sequence of xcorresponding to G(h, h)=1 is output as a sequence of entries indicative of a cause of an event described in a log entry of the first type.

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Philadelphia, PA, United States of America

Shamya Karumbaiah