Improving Log-Based Fault Diagnosis by Log Classification-Reference-Cited by-同舟云学术

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Improving Log-Based Fault Diagnosis by Log Classification

Published:2014 Issue: Volume: Page:446-458
ISSN:0302-9743
Container-title:Advanced Information Systems Engineering
language:
Short-container-title:

Author:

Zou Deqing,Qin Hao,Jin Hai,Qiang Weizhong,Han Zongfen,Chen Xueguang

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-44917-2_37

Reference19 articles.

1. Zawoad, S., Dutta, A.K., Hasan, R.: SecLaaS: secure logging-as-a-service for cloud forensics. In: Proceedings of the ACM Symposium on Information, Computer and Communications Security, pp. 219–230 (2013)

2. Rao, X., Wang, H., Shi, D., Chen, Z.: Identifying faults in large-scale distributed systems by filtering noisy error logs. In: Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks, pp. 140–145 (2011)

3. Yuan, D., Mai, H., Xiong, W., Tan, L., Zhou, Y., Pasupathy, S.: SherLog: error diagnosis by connecting clues from run-time logs. Computer Architecture News 38, 143–154 (2010), doi:10.1145/1735971.1736038

4. Fu, Q., Lou, J., Wang, Y., Li, J.: Execution anomaly detection in distributed systems through unstructured log analysis. In: Proceedings of the IEEE International Conference on Data Mining, pp. 149–158 (2009)

5. Xu, W., Huang, L., Fox, A., Patterson, D., Jordan, M.: Detecting large-scale system problems by mining console logs. In: Proceedings of the ACM Symposium on Operating Systems Principles, pp. 117–132 (2009)

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