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Research Article

Efficient Log Parsing and Visualization System for Large- Scale Logs: A Data-Centric Approach Using Custom Data Structures

  • Paper ID 188
  • Volume 5, Issue 5
  • Pages 22-26
  • Published Online: September-October 2024
  • 33 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • V M Suhas1
  • V M Subash2
  • V S Arjun3

12 Final Year B.Tech Students, Department of Computer Science and Engineering, Reva University, Bangalore, Karnataka, India. 3Technical Program Manager – Wireless, Tessolve Semiconductor Private Limited, Bangalore, Karnataka, India.

Article Information

Published Online
September-October 2024
Pages
22-26
Article Type
Research Article
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References

1. Tools and Benchmarks for Automated Log Parsing: Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R.
Lyu (2019)"Tools and Benchmarks for Automated Log Parsing" https://arxiv.org/abs/1811.03509
2. Automatic Parsing and Utilization of System Log Features in Log Analysis A Survey: Junchen Ma, Yang Liu, Hongjie Wan, Guozi
Sun, (2023)"Automatic Parsing and Utilization of System Log Features in Log Analysis: A Survey", DOI:
https://ieeexplore.ieee.org/document/10301279
3. System Log Parsing: A Survey: Tianzhu Zhang, Han Qiu, Gabriele Castellano, Myriana Rifai, Chung Shue Chen, Fabio Pianese
“System Log Parsing: A Survey" https://ieeexplore.ieee.org/document/10025560
4. Log Parsing Evaluation in the Era of Modern Software Systems: Stefan Petrescu, Floris den Hengst, Alexandru Uta, Jan S. Rellermeyer
“Log Parsing Evaluation in the Era of Modern Software Systems" https://ieeexplore.ieee.org/document/10301279
5. Source code for the project : - https://github.com/VMsubhash/LogPlot
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  • ISSN 2582-8746
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