Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins
Summary: Orca-SR is a real-time traffic‑engineering framework for SRP-based signal reconstruction that leverages similarity joins. The web demo scales to large networks, enabling interactive generation/loading of traffic flows to study how traffic patterns impact reconstruction quality in real time. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jees Augustine
- 2. Suraj Shetiya
- 3. Abolfazl Asudeh
- 4. Saravanan Thirumuruganathan
- 5. Azade Nazi
- 6. Nan Zhang
- 7. Gautam Das
- 8. Divesh Srivastava
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,779 | Hashed Samples: Selectivity Estimators For Set Similarity Selection Queries | 2008 | VLDB | 8.1320575e-05 |
| 8,921 | Leveraging Similarity Joins for Signal Reconstruction | 2018 | VLDB | 4.427232e-05 |
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