DAGLoc: End-to-End Troubleshooting Approach for Big Data Scheduling System
- DOI
- 10.22541/au.173484052.24846980/v1
- Published
- 2024-12-22
- Container
- Not recorded
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.22541/au.173484052.24846980/v1,
title = {DAGLoc: End-to-End Troubleshooting Approach for Big Data Scheduling System},
author = {Xueyong Tan and Shipeng Zhang and Jing Liu},
year = {2024},
doi = {10.22541/au.173484052.24846980/v1},
url = {https://doi.org/10.22541/au.173484052.24846980/v1}
}RIS
TY - JOUR TI - DAGLoc: End-to-End Troubleshooting Approach for Big Data Scheduling System AU - Xueyong Tan AU - Shipeng Zhang AU - Jing Liu PY - 2024 DO - 10.22541/au.173484052.24846980/v1 UR - https://doi.org/10.22541/au.173484052.24846980/v1 ER -
APA
Tan, X., Zhang, S., & Liu, J. (2024). DAGLoc: End-to-End Troubleshooting Approach for Big Data Scheduling System. https://doi.org/10.22541/au.173484052.24846980/v1
Source records
- crossref · retrieved 2026-09-26T00:45:55.633Z