The Quantcast File System
Summary: QFS is a C++-based, Hadoop-compatible file system with erasure coding (≈50% less disk) and doubled write throughput. It adds a faster name node, concurrent append for sorting/logging, a native CLI, and global feedback-directed I/O; open source, distcp-compatible with HDFS, in production since 2011. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Ovsiannikov (Quantcast)
- 2. Silvius Rus (Quantcast)
- 3. Damian Reeves (Google)
- 4. Paul Sutter (Quantcast)
- 5. Sriram Rao (Microsoft)
- 6. Jim Kelly (Quantcast)
BibTeX Citation
@article{ovsiannikov_vldb13,
title = {{The Quantcast File System}},
author = {Ovsiannikov, Michael and Rus, Silvius and Reeves, Damian and Sutter, Paul and Rao, Sriram and Kelly, Jim},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {11},
pages = {1092--1102},
doi = {10.14778/2536222.2536232},
url = {https://doi.org/10.14778/2536222.2536232},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,214 | OctopusFS: A Distributed File System with Tiered Storage Management | 2017 | SIGMOD | 6.3129716e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|
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| 4 | 2,850 | HAWQ: A Massively Parallel Processing SQL Engine in Hadoop | 2014 | SIGMOD |
| 5 | 1,067 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB |
| 6 | 13,522 | OctopusFS in Action: Tiered Storage Management for Data Intensive Computing | 2018 | VLDB |
| 7 | 6,103 | VectorH: Taking SQL-on-Hadoop to the Next Level | 2016 | SIGMOD |
| 8 | 8,276 | CARTILAGE: Adding Flexibility to the Hadoop Skeleton | 2013 | SIGMOD |
| 9 | 5,214 | OctopusFS: A Distributed File System with Tiered Storage Management | 2017 | SIGMOD |
| 10 | 11,849 | CFS: A Distributed File System for Large Scale Container Platforms | 2019 | SIGMOD |