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)
Incoming Non-self Citations Over Time
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Authors
- 1. Vishal Vyas (Amazon)
- 2. Andrei Paduroiu (Amazon)
- 3. Srikanth Kandula (Amazon)
- 4. Hari Ohm Prasath Rajagopal (Amazon)
- 5. Mukesh Punhani (Amazon)
- 6. Marco Manzo (Amazon)
- 7. Ankur Goyal (Amazon)
- 8. Santosh Chandrachood (Amazon)
- 9. Rick Sears (Amazon)
- 10. Joseph Marques (Amazon)
- 11. Sushant Majithia (Amazon)
BibTeX Citation
@inproceedings{vyas_sigmod25,
title = {{Managed Resource Scaling in Amazon EMR}},
author = {Vyas, Vishal and Paduroiu, Andrei and Kandula, Srikanth and Rajagopal, Hari Ohm Prasath and Punhani, Mukesh and Manzo, Marco and Goyal, Ankur and Chandrachood, Santosh and Sears, Rick and Marques, Joseph and Majithia, Sushant},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724443},
url = {https://dl.acm.org/doi/10.1145/3722212.3724443},
year = {2025}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 24 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00054865648 |
| 5,188 | Resource Management in Aurora Serverless | 2024 | VLDB | 6.3278921e-05 |
| 5,355 | Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service | 2023 | VLDB | 6.2500992e-05 |
| 5,369 | Intelligent Scaling in Amazon Redshift | 2024 | SIGMOD | 6.2437078e-05 |
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