PLQ: An Efficient Approach to Processing Pattern-Based Log Queries
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11390-020-0653-5.pdf
Reference20 articles.
1. Hamooni H, Debnath B, Xu J, Zhang H, Jiang G, Mueen A. LogMine: Fast pattern recognition for log analytics. In Proc. the 25th ACM International on Conference on Information and Knowledge Management, October 2016, pp.1573-1582. https://doi.org/10.1145/2983323.2983358.
2. He P, Zhu J, Zheng Z, Lyu M R. Drain: An online log parsing approach with fixed depth tree. In Proc. the 2017 IEEE International Conference on Web Services, June 2017, pp.33-40. https://doi.org/10.1109/ICWS.2017.13.
3. Du M, Li F, Zheng G, Srikumar V. DeepLog: Anomaly detection and diagnosis from system logs through deep learning. In Proc. the 2017 ACM SIGSAC Conference on Computer and Communications Security, October 30-November 3, 2017, pp.1285-1298. https://doi.org/10.1145/3133956.3134015.
4. Lou J G, Fu Q, Yang S, Li J, Wu B. Mining program workflow from interleaved traces. In Proc. the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 2010, pp.613-622. https://doi.org/10.1145/1835804.1835883.
5. Beschastnikh I, Brun Y, Schneider S, Sloan M, Ernst M D. Leveraging existing instrumentation to automatically infer invariant-constrained models. In Proc. the 19th ACM SIGSOFT Symposium and the 13th European Conference on Foundations of Software Engineering, September 2011, pp.267-277. https://doi.org/10.1145/2025113.2025151.
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