TAOBench: An End-to-End Benchmark for Social Network Workloads
Summary: TAOBench: end-to-end benchmark for social network workloads based on Meta production traffic, capturing realistic request patterns and emergent behavior. Open-source workload configurations, validated against production, evaluated on five distributed DBMS to reveal tradeoffs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Audrey Cheng
- 2. Xiao Shi
- 3. Aaron Kabcenell
- 4. Shilpa Lawande
- 5. Hamza Qadeer
- 6. Jason Chan
- 7. Harrison Tin
- 8. Ryan Zhao
- 9. Peter Bailis
- 10. Mahesh Balakrishnan
- 11. Nathan Bronson
- 12. Natacha Crooks
- 13. Ion Stoica
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10,413 | RedTAO: A Trillion-edge High-throughput Graph Store | 2025 | SIGMOD | 4.1945683e-05 |
| 536 | The LDBC Social Network Benchmark: Interactive Workload | 2015 | SIGMOD | 0.00020722862 |
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| 3,402 | TAO: How Facebook Serves the Social Graph | 2012 | SIGMOD | 7.1378698e-05 |
| 281 | LinkBench: a Database Benchmark Based on the Facebook Social Graph | 2013 | SIGMOD | 0.0002906793 |