SCALABLE AND ACCURATE MINING OF CONTROL FLOW FROM EXECUTION LOGS ACROSS DISTRIBUTED SYSTEMS

摘要

Methods and arrangements for efficiently mining a control flow graph from execution logs of a distributed system. Using at least one text clustering technique, two text clusters are generated from the plurality of execution logs. At least one approximate template is generated based on the at least two text clusters. At least one refined template is created via refining the at least one approximate template using multimodal sequencing. The control flow graph is created based on the at least one refined template. An anomaly is detected in the control flow graph.

主权项

1. A method of efficiently mining a control flow graph from execution logs of a distributed system, said method comprising:
utilizing at least one processor to execute computer code that performs the steps of: receiving a plurality of execution logs; generating, using at least one text clustering technique, at least two text clusters, from the plurality of execution logs; generating at least one approximate template based on the at least two text clusters; creating at least one refined template via refining the at least one approximate template using multimodal sequencing; creating the control flow graph, based on the at least one refined template; and detecting at least one anomaly in the control flow graph.