Continuous Cloud-Scale Query Optimization and Processing
Summary: Continuous, runtime-driven optimization in Scope for cloud-scale queries, with live statistics collection. In-flight plan reoptimization mitigates missing stats and skew, delivering latency gains on production clusters; extends to MapReduce and UDF-heavy workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nicolas Bruno
- 2. Sapna Jain
- 3. Jingren Zhou
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,083 | Towards a Learning Optimizer for Shared Clouds | 2019 | VLDB | 9.5834572e-05 |
| 3,625 | Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings | 2020 | SIGMOD | 6.9055212e-05 |
| 4,174 | Computation Reuse in Analytics Job Service at Microsoft | 2018 | SIGMOD | 6.3856219e-05 |
| 5,014 | Dynamically Optimizing Queries over Large Scale Data Platforms | 2014 | SIGMOD | 5.7586174e-05 |
| 6,757 | KEA: Tuning an Exabyte-Scale Data Infrastructure | 2021 | SIGMOD | 4.9372134e-05 |
| 7,387 | Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale | 2018 | VLDB | 4.7438193e-05 |
| 7,778 | Runtime Variation in Big Data Analytics | 2023 | SIGMOD | 4.653651e-05 |
| 8,158 | MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates | 2020 | SIGMOD | 4.5730772e-05 |
| 11,531 | Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters | 2021 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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