REEF: Retainable Evaluator Execution Framework
Summary: REEF layers on YARN to decouple hardware-resource lifetimes from task lifetimes, enabling persistent cross-job caches and cluster services. A unified framework supports fault-tolerant ETL, declarative queries, and high-performance iterative graph/ML workloads. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Byung-Gon Chun (Microsoft)
- 2. Chris Douglas (Microsoft)
- 3. Shravan Narayanamurthy (Microsoft)
- 4. Josh Rosen (University of California Berkeley)
- 5. Tyson Condie (Microsoft)
- 6. Sergiy Matusevych (Microsoft)
- 7. Raghu Ramakrishnan (Microsoft)
- 8. Russell Sears (Microsoft)
- 9. Carlo Curino (Microsoft)
- 10. Brandon Myers (University of Washington)
- 11. Sriram Rao (Microsoft)
- 12. Markus Weimer (Microsoft)
BibTeX Citation
@article{chun_vldb13,
title = {{REEF: Retainable Evaluator Execution Framework}},
author = {Chun, Byung-Gon and Douglas, Chris and Narayanamurthy, Shravan and Rosen, Josh and Condie, Tyson and Matusevych, Sergiy and Ramakrishnan, Raghu and Sears, Russell and Curino, Carlo and Myers, Brandon and Rao, Sriram and Weimer, Markus},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1370--1373},
doi = {10.14778/2536274.2536308},
url = {https://doi.org/10.14778/2536274.2536308},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 710 | Trill: A High-Performance Incremental Query Processor for Diverse Analytics | 2015 | VLDB | 0.00014715033 |
| 3,885 | Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications | 2015 | SIGMOD | 7.0475239e-05 |
| 4,049 | Resource Elasticity for Large-Scale Machine Learning | 2015 | SIGMOD | 6.9369379e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,885 | Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications | 2015 | SIGMOD |
| 2 | 1,883 | ReStore: Reusing Results of MapReduce Jobs | 2012 | VLDB |
| 3 | 9,639 | IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows | 2015 | SIGMOD |
| 4 | 923 | Starfish: A Self-tuning System for Big Data Analytics | 2011 | CIDR |
| 5 | 1,229 | Weld: A Common Runtime for High Performance Data Analytics | 2017 | CIDR |
| 6 | 12,132 | SAASFEE: Scalable Scientific Workflow Execution Engine | 2015 | VLDB |
| 7 | 9,369 | Redoop Infrastructure for Recurring Big Data Queries | 2014 | VLDB |
| 8 | 9,983 | Rheem: Enabling Multi-Platform Task Execution | 2016 | SIGMOD |
| 9 | 13,686 | RAFT at Work: Speeding-Up MapReduce Applications under Task and Node Failures | 2011 | SIGMOD |
| 10 | 6,430 | REEF: Retainable Evaluator Execution Framework | 2015 | SIGMOD |