Managed Resource Scaling in Amazon EMR
Summary: Amazon EMR Managed Scaling is an engine-agnostic, automatic resizer using telemetry, topology, and past behavior to adapt resources in seconds. It unifies several scaling techniques into one algorithm that optimizes cost and performance with minimal input. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Vishal Vyas
- 2. Andrei Paduroiu
- 3. Srikanth Kandula
- 4. Hari Ohm Prasath Rajagopal
- 5. Mukesh Punhani
- 6. Marco Manzo
- 7. Ankur Goyal
- 8. Santosh Chandrachood
- 9. Rick Sears
- 10. Joseph Marques
- 11. Sushant Majithia
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 5,566 | Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service | 2023 | VLDB | 5.4316888e-05 |
| 5,634 | Intelligent Scaling in Amazon Redshift | 2024 | SIGMOD | 5.4000904e-05 |
| 5,701 | Resource Management in Aurora Serverless | 2024 | VLDB | 5.3647775e-05 |
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