Ca, Inc.

Venkatesh Seenivasan

Seshadri Venkataraman

Techniques for managing networked node transactions are disclosed. A plurality of classifier digital fingerprints that each comprise a bit sequence are each associated with a respective result classifier. The fingerprint generator receives transaction event entries that contain message text associated with a transaction between two or more nodes. The fingerprint generator generates a digital fingerprint for each of the transaction event entries. Each of the generated digital fingerprints comprises a bit sequence that is associated with an identity of at least one of the two or more nodes, and generating each of the fingerprints includes, for each bit position in the fingerprint bit sequence, determining whether the message text includes a specified text pattern and setting the bit position value based on the determination of whether the message text includes the specified text pattern. An event classifier groups each digital fingerprint into one or more event classification sets that each correspond to one of the result classifiers based, at least in part, on pattern matching the generated digital fingerprint with the classifier digital fingerprints.

Proactive fault detection and diagnostics for networked node transaction events

Techniques for managing networked node transactions are disclosed. In an embodiment, a fingerprint generator determines multiple classifier digital fingerprints that each comprise a bit sequence associated with a respective result classifier. The fingerprint generator receives transaction event entries that contain message text associated with a transaction between two or more nodes. The fingerprint generator generates a digital fingerprint for each of the transaction event entries. Each of the generated digital fingerprints comprises a bit sequence that is associated with an identity of at least one of the two or more nodes, and generating each of the fingerprints includes, for each bit position in the fingerprint bit sequence, determining whether the message text includes a specified text pattern and setting the bit position value based on the determination of whether the message text includes the specified text pattern. An event classifier groups each digital fingerprint into one or more event classification sets that each correspond to one of the result classifiers based, at least in part, on pattern matching the generated digital fingerprint with the classifier digital fingerprints.

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Dublin, CA, United States of America

Venkatesh Seenivasan