International Business Machines Corporation
COGNITIVE DISPARATE LOG ASSOCIATION

Abstract:

An approach is provided for tracking a single process instance flow. A request is received in a first system of a multi-system environment. Log files are pulled from systems with which the request interacts. Log entries are captured for the request. The log files are combined and flattened into a chronological log. A predictive model is built from an order of entries in the chronological log. Correlation keys in the entries of the chronological log are identified. Logs specifying processing of multiple ongoing requests are aggregated. A process instance of interest to a user is received. Instance specific log files are generated by deflattening the aggregated logs and by using a pattern detection algorithm that uses the predictive model and an alternate identifier algorithm that uses the correlation keys. One of the generated instance specific log files specifies a flow of the process instance of interest.