ResLake: Towards Minimum Job Latency and Balanced Resource Utilization in Geo-distributed Job Scheduling
Summary: ResLake jointly optimizes geo-distributed job completion time, cross-DC CPU/memory/disk balance, and WAN use rather than minimizing data movement alone. Deployed at ByteDance for 1.5+ years, it schedules billions of jobs, cutting JCT ≥20% and improving balance up to 53%. (summarized by gpt-5.6-luna on Jul 21 2026)
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Authors
- 1. Xinchun Zhang (ByteDance)
- 2. Aqsa Kashaf (ByteDance)
- 3. Yihan Zou (ByteDance)
- 4. Wei Zhang (ByteDance)
- 5. Weibo Liao (ByteDance)
- 6. Haoxiang Song (ByteDance)
- 7. Jintao Ye (ByteDance)
- 8. Yakun Li (ByteDance)
- 9. Rui Shi (ByteDance)
- 10. Yong Tian (ByteDance)
- 11. Wei Feng (ByteDance)
- 12. Binbin Chen (ByteDance)
- 13. Zuzhi Chen (ByteDance)
- 14. Tieying Zhang (ByteDance)
- 15. Yongping Tang (ByteDance)
BibTeX Citation
@article{zhang_vldb24,
title = {{ResLake: Towards Minimum Job Latency and Balanced Resource Utilization in Geo-distributed Job Scheduling}},
author = {Zhang, Xinchun and Kashaf, Aqsa and Zou, Yihan and Zhang, Wei and Liao, Weibo and Song, Haoxiang and Ye, Jintao and Li, Yakun and Shi, Rui and Tian, Yong and Feng, Wei and Chen, Binbin and Chen, Zuzhi and Zhang, Tieying and Tang, Yongping},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {3934--3946},
doi = {10.14778/3685800.3685817},
url = {https://doi.org/10.14778/3685800.3685817},
year = {2024}
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Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 126 | Schism: a Workload-Driven Approach to Database Replication and Partitioning | 2010 | VLDB | 0.00030779127 |
| 4,306 | WANalytics: Geo-Distributed Analytics for a Data Intensive World | 2015 | SIGMOD | 6.7702911e-05 |
| 5,582 | Yugong: Geo-Distributed Data and Job Placement at Scale | 2019 | VLDB | 6.1619082e-05 |
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