Scalable and accurate mining of control flow from execution logs across distributed systems

Scalable and accurate mining of control flow from execution logs across distributed systems

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 t...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Mandal, Atri, Subramanian, Suriya, Dasgupta, Gargi Banerjee, Nandi, Animesh, Neogi, Anindya, Raghavan, Sriram
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung: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.