Fatman: Cost-saving and reliable archival storage based on volunteer resources
Summary: Fatman uses volunteer underutilized server storage to build enterprise archival at scale (100+ PB across thousands of nodes) with lower hardware cost. It achieves SLO-safe, cost-efficient utilization via isolation and quotas, and fault-aware data management that cuts MTTR by 76% and file crashes by 35%. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. An Qin
- 2. Dianming Hu
- 3. Jun Liu
- 4. Wenjun Yang
- 5. Dai Tan
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,285 | Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale | 2021 | VLDB | 5.1280578e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 75 | Disk Shadowing | 1988 | VLDB | 0.00057303824 |
| 3,669 | XORing Elephants: Novel Erasure Codes for Big Data | 2013 | VLDB | 6.8584744e-05 |
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