Scalable and accurate mining of control flow from execution logs across distributed systems
US10140287B2 · kind B2 · utility
8Cited by
2References
13Claims
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Key dates
| Filing date | Sep 9, 2015 |
| Grant date | Nov 27, 2018 |
| Priority date | — |
| Expiry date | Jan 29, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/186
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.