Extract-Transform-Load for Video Streams
Summary: Formalizes V-ETL: treat video analytics as data-warehouse ingestion to minimize cost under throughput guarantees. Proposes Skyscraper, which adaptively tunes pipelines (sampling/resolution) with on‑prem buffering and cloud‑bursting to cut cost and improve robustness. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ferdi Kossmann
- 2. Ziniu Wu
- 3. Eugenie Lai
- 4. Nesime Tatbul
- 5. Lei Cao
- 6. Tim Kraska
- 7. Sam Madden
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,171 | Abacus: A Cost-Based Optimizer for Semantic Operator Systems | 2026 | VLDB | 5.6464993e-05 |
| 7,338 | Aero: Adaptive Query Processing of ML Queries | 2025 | SIGMOD | 4.7584583e-05 |
| 7,990 | Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD | 2024 | VLDB | 4.6117441e-05 |
| 8,672 | Optimizing Video Selection LIMIT Queries With Commonsense Knowledge | 2024 | VLDB | 4.4710897e-05 |
| 10,325 | KEN: An Execution Engine for Unstructured Database Systems | 2026 | VLDB | 4.1945683e-05 |
| 10,382 | MAST: Towards Efficient Analytical Query Processing on Point Cloud Data | 2025 | SIGMOD | 4.1945683e-05 |
| 10,503 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1945683e-05 |
| 10,518 | High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration | 2025 | SIGMOD | 4.1945683e-05 |
| 10,523 | Scalable Complex Event Processing on Video Streams | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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